library(readr)
library(dplyr)
library(forcats)
library(caret)
library(data.table)
library(randomForest)
library(glmnet)
library(mltools)
library(class)
library(gmodels)
library(keras)
library(ROCR)
library(iml)
library(fairness)
Load dataset from the directory
tlc <- read.csv("Tel.csv", stringsAsFactors = TRUE)
View(tlc)
The data set includes information about:
Customers who left within the last month – the column is called Churn Services that each customer has signed up for – phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies Customer account information – how long they’ve been a customer, contract, payment method, paperless billing, monthly charges, and total charges Demographic info about customers – gender, age range, and if they have partners and dependents
str(tlc)
'data.frame': 7043 obs. of 21 variables:
$ customerID : Factor w/ 7043 levels "0002-ORFBO","0003-MKNFE",..: 5376 3963 2565 5536 6512 6552 1003 4771 5605 4535 ...
$ gender : Factor w/ 2 levels "Female","Male": 1 2 2 2 1 1 2 1 1 2 ...
$ SeniorCitizen : int 0 0 0 0 0 0 0 0 0 0 ...
$ Partner : Factor w/ 2 levels "No","Yes": 2 1 1 1 1 1 1 1 2 1 ...
$ Dependents : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 2 1 1 2 ...
$ tenure : int 1 34 2 45 2 8 22 10 28 62 ...
$ PhoneService : Factor w/ 2 levels "No","Yes": 1 2 2 1 2 2 2 1 2 2 ...
$ MultipleLines : Factor w/ 3 levels "No","No phone service",..: 2 1 1 2 1 3 3 2 3 1 ...
$ InternetService : Factor w/ 3 levels "DSL","Fiber optic",..: 1 1 1 1 2 2 2 1 2 1 ...
$ OnlineSecurity : Factor w/ 3 levels "No","No internet service",..: 1 3 3 3 1 1 1 3 1 3 ...
$ OnlineBackup : Factor w/ 3 levels "No","No internet service",..: 3 1 3 1 1 1 3 1 1 3 ...
$ DeviceProtection: Factor w/ 3 levels "No","No internet service",..: 1 3 1 3 1 3 1 1 3 1 ...
$ TechSupport : Factor w/ 3 levels "No","No internet service",..: 1 1 1 3 1 1 1 1 3 1 ...
$ StreamingTV : Factor w/ 3 levels "No","No internet service",..: 1 1 1 1 1 3 3 1 3 1 ...
$ StreamingMovies : Factor w/ 3 levels "No","No internet service",..: 1 1 1 1 1 3 1 1 3 1 ...
$ Contract : Factor w/ 3 levels "Month-to-month",..: 1 2 1 2 1 1 1 1 1 2 ...
$ PaperlessBilling: Factor w/ 2 levels "No","Yes": 2 1 2 1 2 2 2 1 2 1 ...
$ PaymentMethod : Factor w/ 4 levels "Bank transfer (automatic)",..: 3 4 4 1 3 3 2 4 3 1 ...
$ MonthlyCharges : num 29.9 57 53.9 42.3 70.7 ...
$ TotalCharges : num 29.9 1889.5 108.2 1840.8 151.7 ...
$ Churn : Factor w/ 2 levels "No","Yes": 1 1 2 1 2 2 1 1 2 1 ...
summary(tlc)
customerID gender SeniorCitizen Partner Dependents tenure PhoneService
0002-ORFBO: 1 Female:3488 Min. :0.0000 No :3641 No :4933 Min. : 0.00 No : 682
0003-MKNFE: 1 Male :3555 1st Qu.:0.0000 Yes:3402 Yes:2110 1st Qu.: 9.00 Yes:6361
0004-TLHLJ: 1 Median :0.0000 Median :29.00
0011-IGKFF: 1 Mean :0.1621 Mean :32.37
0013-EXCHZ: 1 3rd Qu.:0.0000 3rd Qu.:55.00
0013-MHZWF: 1 Max. :1.0000 Max. :72.00
(Other) :7037
MultipleLines InternetService OnlineSecurity OnlineBackup
No :3390 DSL :2421 No :3498 No :3088
No phone service: 682 Fiber optic:3096 No internet service:1526 No internet service:1526
Yes :2971 No :1526 Yes :2019 Yes :2429
DeviceProtection TechSupport StreamingTV
No :3095 No :3473 No :2810
No internet service:1526 No internet service:1526 No internet service:1526
Yes :2422 Yes :2044 Yes :2707
StreamingMovies Contract PaperlessBilling PaymentMethod
No :2785 Month-to-month:3875 No :2872 Bank transfer (automatic):1544
No internet service:1526 One year :1473 Yes:4171 Credit card (automatic) :1522
Yes :2732 Two year :1695 Electronic check :2365
Mailed check :1612
MonthlyCharges TotalCharges Churn
Min. : 18.25 Min. : 18.8 No :5174
1st Qu.: 35.50 1st Qu.: 401.4 Yes:1869
Median : 70.35 Median :1397.5
Mean : 64.76 Mean :2283.3
3rd Qu.: 89.85 3rd Qu.:3794.7
Max. :118.75 Max. :8684.8
NA's :11
The Dataset consists of 7043 Observations and 21 Variables of which 17 are categorical columns and 4 Numerical columns.
From the summary, Senior Citizen is refered as integer “0” No & “1” Yes can be converted as factor.
Removing Unnecessary columns:
tlc<-tlc[,-1]
Convert numeric column senior citizen to factor column.
tlc$SeniorCitizen<-factor(ifelse(tlc$SeniorCitizen>0, "Yes", "No"))
Also, Tenure ranges from 1 to 72 months. can be collapsed to years as factor column.
tlc$tenure <- fct_collapse(factor(tlc$tenure),
"0-1 years" = 0:12,
"1-2 years" = 13:24,
"2-3years" = 25:36,
"3-4 years" = 37:48,
"4-5 years" = 49:60,
"5-6years" = 61:72)
str(tlc)
'data.frame': 7043 obs. of 20 variables:
$ gender : Factor w/ 2 levels "Female","Male": 1 2 2 2 1 1 2 1 1 2 ...
$ SeniorCitizen : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 1 1 ...
$ Partner : Factor w/ 2 levels "No","Yes": 2 1 1 1 1 1 1 1 2 1 ...
$ Dependents : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 2 1 1 2 ...
$ tenure : Factor w/ 6 levels "0-1 years","1-2 years",..: 1 3 1 4 1 1 2 1 3 6 ...
$ PhoneService : Factor w/ 2 levels "No","Yes": 1 2 2 1 2 2 2 1 2 2 ...
$ MultipleLines : Factor w/ 3 levels "No","No phone service",..: 2 1 1 2 1 3 3 2 3 1 ...
$ InternetService : Factor w/ 3 levels "DSL","Fiber optic",..: 1 1 1 1 2 2 2 1 2 1 ...
$ OnlineSecurity : Factor w/ 3 levels "No","No internet service",..: 1 3 3 3 1 1 1 3 1 3 ...
$ OnlineBackup : Factor w/ 3 levels "No","No internet service",..: 3 1 3 1 1 1 3 1 1 3 ...
$ DeviceProtection: Factor w/ 3 levels "No","No internet service",..: 1 3 1 3 1 3 1 1 3 1 ...
$ TechSupport : Factor w/ 3 levels "No","No internet service",..: 1 1 1 3 1 1 1 1 3 1 ...
$ StreamingTV : Factor w/ 3 levels "No","No internet service",..: 1 1 1 1 1 3 3 1 3 1 ...
$ StreamingMovies : Factor w/ 3 levels "No","No internet service",..: 1 1 1 1 1 3 1 1 3 1 ...
$ Contract : Factor w/ 3 levels "Month-to-month",..: 1 2 1 2 1 1 1 1 1 2 ...
$ PaperlessBilling: Factor w/ 2 levels "No","Yes": 2 1 2 1 2 2 2 1 2 1 ...
$ PaymentMethod : Factor w/ 4 levels "Bank transfer (automatic)",..: 3 4 4 1 3 3 2 4 3 1 ...
$ MonthlyCharges : num 29.9 57 53.9 42.3 70.7 ...
$ TotalCharges : num 29.9 1889.5 108.2 1840.8 151.7 ...
$ Churn : Factor w/ 2 levels "No","Yes": 1 1 2 1 2 2 1 1 2 1 ...
tab<-table(tlc$gender, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test with Yates' continuity correction
data: tab
X-squared = 0.48408, df = 1, p-value = 0.4866
mosaicplot(tab, xlab = "gender",
ylab="Churn", main = "Mosaic graph of Gender vs Churn")
tab<-table(tlc$SeniorCitizen, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test with Yates' continuity correction
data: tab
X-squared = 159.43, df = 1, p-value < 2.2e-16
mosaicplot(tab, xlab = "SeniorCitizen",
ylab="Churn", main = "Mosaic graph of SeniorCitizen vs Churn")
tab<-table(tlc$Partner, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test with Yates' continuity correction
data: tab
X-squared = 158.73, df = 1, p-value < 2.2e-16
mosaicplot(tab, xlab = "Partner",
ylab="Churn", main = "Mosaic graph of Partner vs Churn")
tab<-table(tlc$Dependents, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test with Yates' continuity correction
data: tab
X-squared = 189.13, df = 1, p-value < 2.2e-16
mosaicplot(tab, xlab = "Dependents",
ylab="Churn", main = "Mosaic graph of Dependents vs Churn")
tab<-table(tlc$tenure, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 873.86, df = 5, p-value < 2.2e-16
mosaicplot(tab, xlab = "Tenure",
ylab="Churn", main = "Mosaic graph of Tenure vs Churn")
tab<-table(tlc$PhoneService, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test with Yates' continuity correction
data: tab
X-squared = 0.91503, df = 1, p-value = 0.3388
mosaicplot(tab, xlab = "Phoneservice",
ylab="Churn", main = "Mosaic graph of Phoneservice vs Churn")
tab<-table(tlc$MultipleLines, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 11.33, df = 2, p-value = 0.003464
mosaicplot(tab, xlab = "Multiple lines",
ylab="Churn", main = "Mosaic graph of Multiple lines vs Churn")
tab<-table(tlc$InternetService, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 732.31, df = 2, p-value < 2.2e-16
mosaicplot(tab, xlab = "Internet Service ",
ylab="Churn", main = "Mosaic graph of Internet Service vs Churn")
tab<-table(tlc$OnlineSecurity, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 850, df = 2, p-value < 2.2e-16
mosaicplot(tab, xlab = "Online Security ",
ylab="Churn", main = "Mosaic graph of Online Security vs Churn")
tab<-table(tlc$OnlineBackup, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 601.81, df = 2, p-value < 2.2e-16
mosaicplot(tab, xlab = "OnlineBackup",
ylab="Churn", main = "Mosaic graph of Online Backup vs Churn")
tab<-table(tlc$DeviceProtection, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 558.42, df = 2, p-value < 2.2e-16
mosaicplot(tab, xlab = "Device Protection",
ylab="Churn", main = "Mosaic graph of Device Protection vs Churn")
tab<-table(tlc$TechSupport, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 828.2, df = 2, p-value < 2.2e-16
mosaicplot(tab, xlab = "Tech Support",
ylab="Churn", main = "Mosaic graph of Tech Support vs Churn")
tab<-table(tlc$StreamingTV, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 374.2, df = 2, p-value < 2.2e-16
mosaicplot(tab, xlab = "StreamingTv",
ylab="Churn", main = "Mosaic graph of StreamingTv vs Churn")
tab<-table(tlc$StreamingMovies, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 375.66, df = 2, p-value < 2.2e-16
mosaicplot(tab, xlab = "StreamingMovies",
ylab="Churn", main = "Mosaic graph of StreamingMovie vs Churn")
tab<-table(tlc$Contract, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 1184.6, df = 2, p-value < 2.2e-16
mosaicplot(tab, xlab = "Contract",
ylab="Churn", main = "Mosaic graph of Contract vs Churn")
tab<-table(tlc$PaperlessBilling, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test with Yates' continuity correction
data: tab
X-squared = 258.28, df = 1, p-value < 2.2e-16
mosaicplot(tab, xlab = "Paperlessbilling",
ylab="Churn", main = "Mosaic graph of Paperlessbilling vs Churn")
tab<-table(tlc$PaymentMethod, tlc$Churn)
chisq.test(tab)
Pearson's Chi-squared test
data: tab
X-squared = 648.14, df = 3, p-value < 2.2e-16
mosaicplot(tab, xlab = "PaymentMethod",
ylab="Churn", main = "Mosaic graph of PaymentMethod vs Churn")
t.test(tlc$MonthlyCharges ~ tlc$Churn)
Welch Two Sample t-test
data: tlc$MonthlyCharges by tlc$Churn
t = -18.408, df = 4135.8, p-value < 2.2e-16
alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
95 percent confidence interval:
-14.57957 -11.77284
sample estimates:
mean in group No mean in group Yes
61.26512 74.44133
boxplot(tlc$MonthlyCharges ~ tlc$Churn,xlab = "Churn", ylab = "Monthly Charges")
t.test(tlc$TotalCharges ~ tlc$Churn)
Welch Two Sample t-test
data: tlc$TotalCharges by tlc$Churn
t = 18.801, df = 4042.9, p-value < 2.2e-16
alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
95 percent confidence interval:
916.8121 1130.2840
sample estimates:
mean in group No mean in group Yes
2555.344 1531.796
boxplot(tlc$TotalCharges ~ tlc$Churn,xlab = "Churn", ylab = "Total Charges")
Gender by Churn:
The churn rates appear balanced between male and female customers, suggesting that gender does not have a significant impact on churn in this dataset.
Senior Citizen by Churn:
Senior citizens have a higher churn rate compared to non-senior citizens. This could be due to different service needs, pricing sensitivity, or possibly dissatisfaction with the available offerings.
Partner Status by Churn:
Customers without partners tend to churn at a higher rate than those with partners. This might indicate that customers with partners have different needs or satisfaction levels, potentially influenced by shared decision-making or economic factors. Dependents by Churn: ## Data Preparation.
colSums(is.na(tlc))
gender SeniorCitizen Partner Dependents tenure PhoneService
0 0 0 0 0 0
MultipleLines InternetService OnlineSecurity OnlineBackup DeviceProtection TechSupport
0 0 0 0 0 0
StreamingTV StreamingMovies Contract PaperlessBilling PaymentMethod MonthlyCharges
0 0 0 0 0 0
TotalCharges Churn
11 0
missing_percentage <- colMeans(is.na(tlc)) * 100
columns_with_missing <- names(missing_percentage[missing_percentage > 0])
for (col in columns_with_missing) {
cat(col, ": ", missing_percentage[col], "%\n")
}
TotalCharges : 0.1561834 %
tlc[tlc == ""]= NA
mean(!complete.cases(tlc))
[1] 0.001561834
frq<- table(tlc$Churn)
print(frq)
No Yes
5174 1869
round(prop.table(table(tlc$Churn)) * 100, digits = 1)
No Yes
73.5 26.5
for (col_name in names(tlc)) {
if (is.factor(tlc[[col_name]])) {
cat("Data type of column", col_name, ":", class(tlc[[col_name]]), "\n")
cat("Unique values in column", col_name, ":\n")
print(unique(tlc[[col_name]]))
cat("\n")
}
}
Data type of column gender : factor
Unique values in column gender :
[1] Female Male
Levels: Female Male
Data type of column SeniorCitizen : factor
Unique values in column SeniorCitizen :
[1] No Yes
Levels: No Yes
Data type of column Partner : factor
Unique values in column Partner :
[1] Yes No
Levels: No Yes
Data type of column Dependents : factor
Unique values in column Dependents :
[1] No Yes
Levels: No Yes
Data type of column tenure : factor
Unique values in column tenure :
[1] 0-1 years 2-3years 3-4 years 1-2 years 5-6years 4-5 years
Levels: 0-1 years 1-2 years 2-3years 3-4 years 4-5 years 5-6years
Data type of column PhoneService : factor
Unique values in column PhoneService :
[1] No Yes
Levels: No Yes
Data type of column MultipleLines : factor
Unique values in column MultipleLines :
[1] No phone service No Yes
Levels: No No phone service Yes
Data type of column InternetService : factor
Unique values in column InternetService :
[1] DSL Fiber optic No
Levels: DSL Fiber optic No
Data type of column OnlineSecurity : factor
Unique values in column OnlineSecurity :
[1] No Yes No internet service
Levels: No No internet service Yes
Data type of column OnlineBackup : factor
Unique values in column OnlineBackup :
[1] Yes No No internet service
Levels: No No internet service Yes
Data type of column DeviceProtection : factor
Unique values in column DeviceProtection :
[1] No Yes No internet service
Levels: No No internet service Yes
Data type of column TechSupport : factor
Unique values in column TechSupport :
[1] No Yes No internet service
Levels: No No internet service Yes
Data type of column StreamingTV : factor
Unique values in column StreamingTV :
[1] No Yes No internet service
Levels: No No internet service Yes
Data type of column StreamingMovies : factor
Unique values in column StreamingMovies :
[1] No Yes No internet service
Levels: No No internet service Yes
Data type of column Contract : factor
Unique values in column Contract :
[1] Month-to-month One year Two year
Levels: Month-to-month One year Two year
Data type of column PaperlessBilling : factor
Unique values in column PaperlessBilling :
[1] Yes No
Levels: No Yes
Data type of column PaymentMethod : factor
Unique values in column PaymentMethod :
[1] Electronic check Mailed check Bank transfer (automatic)
[4] Credit card (automatic)
Levels: Bank transfer (automatic) Credit card (automatic) Electronic check Mailed check
Data type of column Churn : factor
Unique values in column Churn :
[1] No Yes
Levels: No Yes
str(tlc)
'data.frame': 7043 obs. of 20 variables:
$ gender : Factor w/ 2 levels "Female","Male": 1 2 2 2 1 1 2 1 1 2 ...
$ SeniorCitizen : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 1 1 ...
$ Partner : Factor w/ 2 levels "No","Yes": 2 1 1 1 1 1 1 1 2 1 ...
$ Dependents : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 2 1 1 2 ...
$ tenure : Factor w/ 6 levels "0-1 years","1-2 years",..: 1 3 1 4 1 1 2 1 3 6 ...
$ PhoneService : Factor w/ 2 levels "No","Yes": 1 2 2 1 2 2 2 1 2 2 ...
$ MultipleLines : Factor w/ 3 levels "No","No phone service",..: 2 1 1 2 1 3 3 2 3 1 ...
$ InternetService : Factor w/ 3 levels "DSL","Fiber optic",..: 1 1 1 1 2 2 2 1 2 1 ...
$ OnlineSecurity : Factor w/ 3 levels "No","No internet service",..: 1 3 3 3 1 1 1 3 1 3 ...
$ OnlineBackup : Factor w/ 3 levels "No","No internet service",..: 3 1 3 1 1 1 3 1 1 3 ...
$ DeviceProtection: Factor w/ 3 levels "No","No internet service",..: 1 3 1 3 1 3 1 1 3 1 ...
$ TechSupport : Factor w/ 3 levels "No","No internet service",..: 1 1 1 3 1 1 1 1 3 1 ...
$ StreamingTV : Factor w/ 3 levels "No","No internet service",..: 1 1 1 1 1 3 3 1 3 1 ...
$ StreamingMovies : Factor w/ 3 levels "No","No internet service",..: 1 1 1 1 1 3 1 1 3 1 ...
$ Contract : Factor w/ 3 levels "Month-to-month",..: 1 2 1 2 1 1 1 1 1 2 ...
$ PaperlessBilling: Factor w/ 2 levels "No","Yes": 2 1 2 1 2 2 2 1 2 1 ...
$ PaymentMethod : Factor w/ 4 levels "Bank transfer (automatic)",..: 3 4 4 1 3 3 2 4 3 1 ...
$ MonthlyCharges : num 29.9 57 53.9 42.3 70.7 ...
$ TotalCharges : num 29.9 1889.5 108.2 1840.8 151.7 ...
$ Churn : Factor w/ 2 levels "No","Yes": 1 1 2 1 2 2 1 1 2 1 ...
Missing Value Imputation.
set.seed(1)
inTrain = createDataPartition(tlc$Churn, p = 0.80 , list = FALSE)
train_data = tlc[inTrain,]
test_data = tlc[-inTrain,]
As the missing percentage is very less. We use mean of the variable to impute the na values
mean_TC<- mean(train_data$TotalCharges, na.rm = TRUE)
train_data <- train_data %>%
mutate(TotalCharges = if_else(is.na(TotalCharges), mean_TC, TotalCharges))
test_data <- test_data %>%
mutate(TotalCharges = if_else(is.na(TotalCharges), mean_TC, TotalCharges))
###KNN Model
Let’s Consider Knn Model as our base model.
Knn Model involves some data processing steps: One-hot-coding/dummy variables for categorcial variables.
Our Initial Train and Test datesets train_data test_data
One-hot-encoding the factor variables
td_en<-one_hot(as.data.table(train_data[,1:19]), dropUnusedLevels = TRUE)
td_en<-as.data.frame(td_en)
ts_en<-one_hot(as.data.table(test_data[,1:19]),dropUnusedLevels = TRUE)
ts_en<-as.data.frame(ts_en)
td_labels<-train_data$Churn
tds_labels<-test_data$Churn
normalize <- function(x, min, max) {
return ((x - min) / (max - min))
}
train_col_mins= sapply(td_en, min)
train_col_maxs= sapply(td_en,max)
td_en=as.data.frame(mapply(normalize, td_en,
train_col_mins, train_col_maxs ))
ts_en=as.data.frame(mapply(normalize, ts_en,
train_col_mins, train_col_maxs ))
set.seed(1)
ts_preds<- knn(train = td_en, test = ts_en,cl =
td_labels, k = 75, prob = FALSE, use.all = TRUE)
CrossTable(x = tds_labels, y = ts_preds,
prop.chisq=FALSE)
Cell Contents
|-------------------------|
| N |
| N / Row Total |
| N / Col Total |
| N / Table Total |
|-------------------------|
Total Observations in Table: 1407
| ts_preds
tds_labels | No | Yes | Row Total |
-------------|-----------|-----------|-----------|
No | 882 | 152 | 1034 |
| 0.853 | 0.147 | 0.735 |
| 0.839 | 0.427 | |
| 0.627 | 0.108 | |
-------------|-----------|-----------|-----------|
Yes | 169 | 204 | 373 |
| 0.453 | 0.547 | 0.265 |
| 0.161 | 0.573 | |
| 0.120 | 0.145 | |
-------------|-----------|-----------|-----------|
Column Total | 1051 | 356 | 1407 |
| 0.747 | 0.253 | |
-------------|-----------|-----------|-----------|
conf_matrix <- confusionMatrix(factor(tds_labels), factor(ts_preds), positive = "Yes", mode = "everything")
print(conf_matrix)
Confusion Matrix and Statistics
Reference
Prediction No Yes
No 882 152
Yes 169 204
Accuracy : 0.7719
95% CI : (0.749, 0.7936)
No Information Rate : 0.747
P-Value [Acc > NIR] : 0.01641
Kappa : 0.4058
Mcnemar's Test P-Value : 0.37184
Sensitivity : 0.5730
Specificity : 0.8392
Pos Pred Value : 0.5469
Neg Pred Value : 0.8530
Precision : 0.5469
Recall : 0.5730
F1 : 0.5597
Prevalence : 0.2530
Detection Rate : 0.1450
Detection Prevalence : 0.2651
Balanced Accuracy : 0.7061
'Positive' Class : Yes
The Auc of the model is 77% The model metrics for postive class Precision - 0.54 Recall - 0.57 f1 Score - 0.55
Considering Our Initial train_data and test_data. Train data has 80% and test data has 20%
We can see that our Target variable Churn is highly Imbalanced, we’ll use SMOTE or Class Weights
Our target variable Churn is highly imbalanced lets use class Weights. Later, we’ll also use smote for tree based models.
tab = table(train_data$Churn)
tab
No Yes
4140 1496
w_yes = sum(tab)/(tab["Yes"]*2)
w_no = sum(tab)/(tab["No"]*2)
cw = ifelse(train_data$Churn=="Yes", w_yes, w_no)
set.seed(1)
ctrl= trainControl(method ="cv", number = 10,classProbs = TRUE, summaryFunction = twoClassSummary)
lasso <- train(Churn ~., data = train_data, method = "glmnet",
trControl=ctrl,
tuneGrid = expand.grid(alpha = 1, lambda = 10^seq(-3, 3, length = 100)), weights = cw, verbose = FALSE, metric = "ROC")
set.seed(1)
lasso_preds=predict(lasso, test_data)
confusionMatrix(lasso_preds,test_data$Churn, positive = "Yes", mode = "everything")
Confusion Matrix and Statistics
Reference
Prediction No Yes
No 750 89
Yes 284 284
Accuracy : 0.7349
95% CI : (0.711, 0.7578)
No Information Rate : 0.7349
P-Value [Acc > NIR] : 0.5139
Kappa : 0.417
Mcnemar's Test P-Value : <2e-16
Sensitivity : 0.7614
Specificity : 0.7253
Pos Pred Value : 0.5000
Neg Pred Value : 0.8939
Precision : 0.5000
Recall : 0.7614
F1 : 0.6036
Prevalence : 0.2651
Detection Rate : 0.2018
Detection Prevalence : 0.4037
Balanced Accuracy : 0.7434
'Positive' Class : Yes
set.seed(1)
lasso_predictions_prob=predict(lasso, test_data,type = "prob")
head(lasso_predictions_prob)
set.seed(1)
pred_t_lasso <- prediction(lasso_predictions_prob$Yes,test_data$Churn)
performance(pred_t_lasso, measure = "auc")@y.values
[[1]]
[1] 0.8258578
set.seed(1)
coef(lasso$finalModel, lasso$bestTune$lambda)
35 x 1 sparse Matrix of class "dgCMatrix"
s1
(Intercept) 3.891233e-01
genderMale -2.372213e-02
SeniorCitizenYes 2.610790e-01
PartnerYes -6.936093e-02
DependentsYes -1.109678e-01
tenure1-2 years -7.077641e-01
tenure2-3years -9.553924e-01
tenure3-4 years -7.308061e-01
tenure4-5 years -9.151902e-01
tenure5-6years -9.171379e-01
PhoneServiceYes -1.252608e-01
MultipleLinesNo phone service 1.188959e-13
MultipleLinesYes 2.377907e-01
InternetServiceFiber optic 9.521603e-01
InternetServiceNo -7.279652e-01
OnlineSecurityNo internet service -1.398205e-14
OnlineSecurityYes -3.695177e-01
OnlineBackupNo internet service -1.915067e-01
OnlineBackupYes -5.080314e-02
DeviceProtectionNo internet service -1.868537e-02
DeviceProtectionYes 2.478629e-02
TechSupportNo internet service -2.265448e-04
TechSupportYes -2.514879e-01
StreamingTVNo internet service -6.450532e-05
StreamingTVYes 3.563487e-01
StreamingMoviesNo internet service -2.756541e-06
StreamingMoviesYes 3.001080e-01
ContractOne year -7.798632e-01
ContractTwo year -1.624907e+00
PaperlessBillingYes 3.242571e-01
PaymentMethodCredit card (automatic) .
PaymentMethodElectronic check 3.510701e-01
PaymentMethodMailed check 7.317061e-02
MonthlyCharges .
TotalCharges -1.666476e-04
Lasso shrinks 2 variables to 0. which indicates the variable is not significant.
The AUC of the model is 82.5 The metrics for Churn = Yes : Precision - 0.50 Recall - 0.76 F1 Score - 0.60
set.seed(1)
ctrl= trainControl(method ="cv", number = 10,classProbs = TRUE, summaryFunction = twoClassSummary)
ridge <- train(
Churn ~., data = train_data, method = "glmnet",
trControl = ctrl,
tuneGrid = expand.grid(alpha = 0, lambda = 10^seq(-3, 3, length =
100)), weights = cw, verbose = FALSE, metric = "ROC")
set.seed(1)
ridge_preds=predict(ridge, test_data)
confusionMatrix(ridge_preds,test_data$Churn,positive = "Yes", mode= "everything")
Confusion Matrix and Statistics
Reference
Prediction No Yes
No 747 88
Yes 287 285
Accuracy : 0.7335
95% CI : (0.7095, 0.7564)
No Information Rate : 0.7349
P-Value [Acc > NIR] : 0.5618
Kappa : 0.4156
Mcnemar's Test P-Value : <2e-16
Sensitivity : 0.7641
Specificity : 0.7224
Pos Pred Value : 0.4983
Neg Pred Value : 0.8946
Precision : 0.4983
Recall : 0.7641
F1 : 0.6032
Prevalence : 0.2651
Detection Rate : 0.2026
Detection Prevalence : 0.4065
Balanced Accuracy : 0.7433
'Positive' Class : Yes
set.seed(1)
ridge_preds_prob=predict(ridge, test_data,type = "prob")
pred_t_ridge <- prediction(ridge_preds_prob$Yes,test_data$Churn)
performance(pred_t_ridge, measure = "auc")@y.values
[[1]]
[1] 0.824857
set.seed(1)
coef(ridge$finalModel, ridge$bestTune$lambda)
35 x 1 sparse Matrix of class "dgCMatrix"
s1
(Intercept) 0.1675575599
genderMale -0.0432328420
SeniorCitizenYes 0.2629471016
PartnerYes -0.1123862884
DependentsYes -0.1367018767
tenure1-2 years -0.5506075122
tenure2-3years -0.7646105161
tenure3-4 years -0.5782583149
tenure4-5 years -0.7540519345
tenure5-6years -0.7824578108
PhoneServiceYes -0.0861226640
MultipleLinesNo phone service 0.0813460534
MultipleLinesYes 0.1744984557
InternetServiceFiber optic 0.6866559967
InternetServiceNo -0.1342331906
OnlineSecurityNo internet service -0.1351961897
OnlineSecurityYes -0.4315799951
OnlineBackupNo internet service -0.1365245116
OnlineBackupYes -0.1303689142
DeviceProtectionNo internet service -0.1375164282
DeviceProtectionYes -0.0224649735
TechSupportNo internet service -0.1380805434
TechSupportYes -0.3329431682
StreamingTVNo internet service -0.1389593737
StreamingTVYes 0.2515931139
StreamingMoviesNo internet service -0.1388537907
StreamingMoviesYes 0.2033830121
ContractOne year -0.6959238743
ContractTwo year -1.3017078826
PaperlessBillingYes 0.3159197373
PaymentMethodCredit card (automatic) -0.0526270399
PaymentMethodElectronic check 0.3577456070
PaymentMethodMailed check 0.0895394080
MonthlyCharges 0.0056118351
TotalCharges -0.0001549136
The AUC of the model is 82.4 The metrics for Churn = Yes : Precision - 0.49 Recall - 0.76 F1 Score - 0.60
Enet
set.seed(1)
ctrl= trainControl(method ="cv", number = 10,classProbs = TRUE, summaryFunction = twoClassSummary)
enet <- train(
Churn ~., data = train_data, method = "glmnet",
trControl = ctrl,
tuneGrid = expand.grid(alpha =seq(0,1, length=10), lambda =
10^seq(-3, 3, length = 100)),weights = cw, verbose = FALSE, metric = "ROC")
set.seed(1)
enet_predictions=predict(enet, test_data)
confusionMatrix(enet_predictions,test_data$Churn,positive = "Yes", mode ="everything")
Confusion Matrix and Statistics
Reference
Prediction No Yes
No 751 89
Yes 283 284
Accuracy : 0.7356
95% CI : (0.7117, 0.7585)
No Information Rate : 0.7349
P-Value [Acc > NIR] : 0.4898
Kappa : 0.4182
Mcnemar's Test P-Value : <2e-16
Sensitivity : 0.7614
Specificity : 0.7263
Pos Pred Value : 0.5009
Neg Pred Value : 0.8940
Precision : 0.5009
Recall : 0.7614
F1 : 0.6043
Prevalence : 0.2651
Detection Rate : 0.2018
Detection Prevalence : 0.4030
Balanced Accuracy : 0.7438
'Positive' Class : Yes
set.seed(1)
enet_predictions_prob=predict(enet, test_data,type = "prob")
pred_t_enet <- prediction(enet_predictions_prob$Yes,test_data$Churn)
performance(pred_t_enet, measure = "auc")@y.values
[[1]]
[1] 0.8253289
set.seed(1)
coef(enet$finalModel, enet$bestTune$lambda)
35 x 1 sparse Matrix of class "dgCMatrix"
s1
(Intercept) 0.1703601891
genderMale -0.0327545629
SeniorCitizenYes 0.2633564444
PartnerYes -0.0876658176
DependentsYes -0.1216508152
tenure1-2 years -0.6450044864
tenure2-3years -0.8769624049
tenure3-4 years -0.6644534242
tenure4-5 years -0.8422499942
tenure5-6years -0.8529417695
PhoneServiceYes -0.1044091139
MultipleLinesNo phone service 0.0903296767
MultipleLinesYes 0.2012480797
InternetServiceFiber optic 0.7800488374
InternetServiceNo -0.1194813511
OnlineSecurityNo internet service -0.1212466017
OnlineSecurityYes -0.4104469888
OnlineBackupNo internet service -0.1241099651
OnlineBackupYes -0.0974481231
DeviceProtectionNo internet service -0.1265745523
DeviceProtectionYes .
TechSupportNo internet service -0.1287647131
TechSupportYes -0.3008534424
StreamingTVNo internet service -0.1311511103
StreamingTVYes 0.2893013148
StreamingMoviesNo internet service -0.1302622093
StreamingMoviesYes 0.2357194897
ContractOne year -0.7477220424
ContractTwo year -1.4912558423
PaperlessBillingYes 0.3225755880
PaymentMethodCredit card (automatic) -0.0147787625
PaymentMethodElectronic check 0.3591554187
PaymentMethodMailed check 0.0867236066
MonthlyCharges 0.0049361240
TotalCharges -0.0001652435
Enet shrinks one variable to zero.
The AUC of the model is 82.5 The metrics for Churn = Yes : Precision - 0.50 Recall - 0.76 F1 Score - 0.60
set.seed(1)
rf <- randomForest(Churn ~ ., data = train_data)
rf
Call:
randomForest(formula = Churn ~ ., data = train_data)
Type of random forest: classification
Number of trees: 500
No. of variables tried at each split: 4
OOB estimate of error rate: 20.19%
Confusion matrix:
No Yes class.error
No 3724 416 0.1004831
Yes 722 774 0.4826203
The out of bag error here is 20.19% which is low.
set.seed(1)
ctrl= trainControl(method ="cv", number = 10,classProbs = TRUE, summaryFunction = twoClassSummary)
grid_rf <- expand.grid(mtry = c(2, 4, 8, 16))
set.seed(1)
m_rf <- train(Churn ~ ., data = train_data, method = "rf", trControl = ctrl, tuneGrid = grid_rf,importance=T,weights = cw, verbose = FALSE, metric = "ROC")
m_rf
Random Forest
5636 samples
19 predictor
2 classes: 'No', 'Yes'
No pre-processing
Resampling: Cross-Validated (10 fold)
Summary of sample sizes: 5073, 5073, 5072, 5073, 5073, 5072, ...
Resampling results across tuning parameters:
mtry ROC Sens Spec
2 0.8342401 0.9458937 0.3782819
4 0.8377427 0.8992754 0.5367248
8 0.8354715 0.8990338 0.5233647
16 0.8288062 0.8946860 0.5146532
ROC was used to select the optimal model using the largest value.
The final value used for the model was mtry = 4.
The Auc for random forest with class weights is 83.7 at mtry = 4.
set.seed(1)
rf_predictions=predict(m_rf, test_data)
table(rf_predictions, test_data$Churn)
rf_predictions No Yes
No 916 192
Yes 118 181
set.seed(1)
rf_predictions_prob=predict(m_rf, test_data, type="prob")
pred_t_rf=prediction(rf_predictions_prob$Yes,test_data$Churn)
performance(pred_t_rf, measure = "auc")@y.values
[[1]]
[1] 0.812759
set.seed(1)
confusionMatrix(rf_predictions,test_data$Churn,positive = "Yes", mode = "everything")
Confusion Matrix and Statistics
Reference
Prediction No Yes
No 916 192
Yes 118 181
Accuracy : 0.7797
95% CI : (0.7571, 0.8011)
No Information Rate : 0.7349
P-Value [Acc > NIR] : 6.050e-05
Kappa : 0.3963
Mcnemar's Test P-Value : 3.382e-05
Sensitivity : 0.4853
Specificity : 0.8859
Pos Pred Value : 0.6054
Neg Pred Value : 0.8267
Precision : 0.6054
Recall : 0.4853
F1 : 0.5387
Prevalence : 0.2651
Detection Rate : 0.1286
Detection Prevalence : 0.2125
Balanced Accuracy : 0.6856
'Positive' Class : Yes
The AUC of the model is 81.2 The metrics for Churn = Yes : Precision - 0.60 Recall - 0.48 F1 Score - 0.53
varImp(m_rf)
rf variable importance
only 20 most important variables shown (out of 34)
Let’s also Consider smote class imbalance method
set.seed(1)
ctrl= trainControl(method ="cv", number = 10,classProbs = TRUE, summaryFunction = twoClassSummary,sampling = "smote")
grid_rf <- expand.grid(mtry = c(2, 4, 8, 16))
set.seed(1)
smote_rf <- train(Churn ~ ., data = train_data, method = "rf", trControl = ctrl, tuneGrid = grid_rf,importance=T, verbose = FALSE, metric = "ROC")
Loading required package: recipes
Attaching package: ‘recipes’
The following object is masked from ‘package:Matrix’:
update
The following object is masked from ‘package:stats’:
step
smote_rf
Random Forest
5636 samples
19 predictor
2 classes: 'No', 'Yes'
No pre-processing
Resampling: Cross-Validated (10 fold)
Summary of sample sizes: 5073, 5073, 5072, 5073, 5073, 5072, ...
Addtional sampling using SMOTE
Resampling results across tuning parameters:
mtry ROC Sens Spec
2 0.8391561 0.8659420 0.6048277
4 0.8417882 0.8840580 0.5700940
8 0.8332172 0.8852657 0.5367025
16 0.8296352 0.8869565 0.5280134
ROC was used to select the optimal model using the largest value.
The final value used for the model was mtry = 4.
The best AUC is 84.1 at mtry = 4
set.seed(1)
smote_rf_predictions=predict(smote_rf, test_data)
table(smote_rf_predictions, test_data$Churn)
smote_rf_predictions No Yes
No 892 179
Yes 142 194
set.seed(1)
smote_rf_predictions_prob=predict(smote_rf, test_data, type="prob")
pred_smote_rf=prediction(smote_rf_predictions_prob$Yes,test_data$Churn)
performance(pred_smote_rf, measure = "auc")@y.values
[[1]]
[1] 0.8240688
set.seed(1)
confusionMatrix(smote_rf_predictions,test_data$Churn,positive = "Yes", mode="everything")
Confusion Matrix and Statistics
Reference
Prediction No Yes
No 892 179
Yes 142 194
Accuracy : 0.7719
95% CI : (0.749, 0.7936)
No Information Rate : 0.7349
P-Value [Acc > NIR] : 0.0008023
Kappa : 0.3953
Mcnemar's Test P-Value : 0.0445028
Sensitivity : 0.5201
Specificity : 0.8627
Pos Pred Value : 0.5774
Neg Pred Value : 0.8329
Precision : 0.5774
Recall : 0.5201
F1 : 0.5472
Prevalence : 0.2651
Detection Rate : 0.1379
Detection Prevalence : 0.2388
Balanced Accuracy : 0.6914
'Positive' Class : Yes
varImp(m_rf)
rf variable importance
only 20 most important variables shown (out of 34)
The AUC of the model is 82.4 The metrics for Churn = Yes : Precision - 0.57 Recall - 0.52 F1 Score - 0.54
varImp(smote_rf)
rf variable importance
only 20 most important variables shown (out of 34)
ctrl= trainControl(method ="cv", number = 10,classProbs = TRUE, summaryFunction = twoClassSummary)
set.seed(1)
gbm <- train(
Churn ~., data = train_data, method = "gbm",
trControl = ctrl,weights = cw,verbose=FALSE, metric ="ROC")
gbm
Stochastic Gradient Boosting
5636 samples
19 predictor
2 classes: 'No', 'Yes'
No pre-processing
Resampling: Cross-Validated (10 fold)
Summary of sample sizes: 5073, 5073, 5072, 5073, 5073, 5072, ...
Resampling results across tuning parameters:
interaction.depth n.trees ROC Sens Spec
1 50 0.8444198 0.7318841 0.7993960
1 100 0.8501394 0.7359903 0.8067472
1 150 0.8518877 0.7350242 0.8067517
2 50 0.8507579 0.7437198 0.7967159
2 100 0.8513875 0.7461353 0.7973915
2 150 0.8504270 0.7509662 0.7880492
3 50 0.8518242 0.7519324 0.7960850
3 100 0.8515457 0.7538647 0.7880582
3 150 0.8498536 0.7521739 0.7847204
Tuning parameter 'shrinkage' was held constant at a value of 0.1
Tuning parameter 'n.minobsinnode'
was held constant at a value of 10
ROC was used to select the optimal model using the largest value.
The final values used for the model were n.trees = 150, interaction.depth = 1, shrinkage = 0.1
and n.minobsinnode = 10.
set.seed(1)
gbm_predictions=predict(gbm, test_data)
table(gbm_predictions, test_data$Churn)
gbm_predictions No Yes
No 739 75
Yes 295 298
set.seed(1)
gbm_predictions_prob=predict(gbm, test_data, type="prob")
pred_t_gbm=prediction(gbm_predictions_prob$Yes,test_data$Churn)
performance(pred_t_gbm, measure = "auc")@y.values
[[1]]
[1] 0.8338022
confusionMatrix(gbm_predictions,test_data$Churn,positive = "Yes", mode= "everything")
Confusion Matrix and Statistics
Reference
Prediction No Yes
No 739 75
Yes 295 298
Accuracy : 0.737
95% CI : (0.7132, 0.7599)
No Information Rate : 0.7349
P-Value [Acc > NIR] : 0.4418
Kappa : 0.4322
Mcnemar's Test P-Value : <2e-16
Sensitivity : 0.7989
Specificity : 0.7147
Pos Pred Value : 0.5025
Neg Pred Value : 0.9079
Precision : 0.5025
Recall : 0.7989
F1 : 0.6170
Prevalence : 0.2651
Detection Rate : 0.2118
Detection Prevalence : 0.4215
Balanced Accuracy : 0.7568
'Positive' Class : Yes
The AUC of the model is 83.3 The metrics for Churn = Yes : Precision - 0.50 Recall - 0.80 F1 Score - 0.61
Gradient Boosting machine Using smote.
ctrl=trainControl(method="cv", number=10, classProbs = TRUE, summaryFunction = twoClassSummary,
sampling="smote")
set.seed(1)
smote_gbm<-train(Churn ~ ., data = train_data, method = "gbm", verbose=FALSE, metric ="ROC",
trControl= ctrl)
set.seed(1)
smote_gbm_predictions=predict(smote_gbm, test_data)
table(smote_gbm_predictions, test_data$Churn)
smote_gbm_predictions No Yes
No 889 152
Yes 145 221
set.seed(1)
s_gbm_predictions_prob=predict(smote_gbm, test_data, type="prob")
pred_s_gbm=prediction(s_gbm_predictions_prob$Yes,test_data$Churn)
performance(pred_s_gbm, measure = "auc")@y.values
[[1]]
[1] 0.8319782
confusionMatrix(smote_gbm_predictions,test_data$Churn,positive = "Yes", mode ="everything")
Confusion Matrix and Statistics
Reference
Prediction No Yes
No 889 152
Yes 145 221
Accuracy : 0.7889
95% CI : (0.7666, 0.81)
No Information Rate : 0.7349
P-Value [Acc > NIR] : 1.539e-06
Kappa : 0.455
Mcnemar's Test P-Value : 0.7277
Sensitivity : 0.5925
Specificity : 0.8598
Pos Pred Value : 0.6038
Neg Pred Value : 0.8540
Precision : 0.6038
Recall : 0.5925
F1 : 0.5981
Prevalence : 0.2651
Detection Rate : 0.1571
Detection Prevalence : 0.2601
Balanced Accuracy : 0.7261
'Positive' Class : Yes
The AUC of the model is 83.1 The metrics for Churn = Yes : Precision - 0.60 Recall - 0.59 F1 Score - 0.59
SVM Models - Class weights
ctrl= trainControl(method ="cv", number = 10,classProbs = TRUE, summaryFunction = twoClassSummary,preProc=c("center","scale"))
set.seed(1)
svml <- train(Churn ~., data = train_data, method = "svmLinear",
trControl = ctrl,weights = cw, verbose=FALSE, metric ="ROC" )
svml
Support Vector Machines with Linear Kernel
5636 samples
19 predictor
2 classes: 'No', 'Yes'
No pre-processing
Resampling: Cross-Validated (10 fold)
Summary of sample sizes: 5073, 5073, 5072, 5073, 5073, 5072, ...
Resampling results:
ROC Sens Spec
0.8297696 0.9166667 0.4658434
Tuning parameter 'C' was held constant at a value of 1
set.seed(1)
svml_predictions=predict(svml, test_data)
table(svml_predictions, test_data$Churn)
svml_predictions No Yes
No 925 221
Yes 109 152
set.seed(1)
svml_predictions_prob = predict(svml, test_data, type = "prob")
svml_y_predictions = prediction(svml_predictions_prob$Yes, test_data$Churn)
performance(svml_y_predictions, measure = "auc")@y.values
[[1]]
[1] 0.8073037
confusionMatrix(svml_predictions, test_data$Churn, positive = 'Yes', mode="everything")
Confusion Matrix and Statistics
Reference
Prediction No Yes
No 925 221
Yes 109 152
Accuracy : 0.7655
95% CI : (0.7424, 0.7874)
No Information Rate : 0.7349
P-Value [Acc > NIR] : 0.004726
Kappa : 0.3342
Mcnemar's Test P-Value : 9.941e-10
Sensitivity : 0.4075
Specificity : 0.8946
Pos Pred Value : 0.5824
Neg Pred Value : 0.8072
Precision : 0.5824
Recall : 0.4075
F1 : 0.4795
Prevalence : 0.2651
Detection Rate : 0.1080
Detection Prevalence : 0.1855
Balanced Accuracy : 0.6510
'Positive' Class : Yes
The AUC of the model is 80.0 The metrics for Churn = Yes : Precision - 0.58 Recall - 0.40 F1 Score - 0.47
SVMRadial
ctrl= trainControl(method ="cv", number = 10,classProbs = TRUE, summaryFunction = twoClassSummary,preProc=c("center","scale"))
set.seed(1)
svmr <- train(Churn ~., data = train_data, method = "svmRadial",
trControl = ctrl,weights = cw,verbose=FALSE, metric ="ROC" )
set.seed(1)
svmr_predictions_prob = predict(svmr, test_data, type = "prob")
svmr_y_predictions = prediction(svmr_predictions_prob$Yes, test_data$Churn)
performance(svmr_y_predictions, measure = "auc")@y.values
[[1]]
[1] 0.7983429
set.seed(1)
svmr_predictions=predict(svmr, test_data)
table(svmr_predictions, test_data$Churn)
svmr_predictions No Yes
No 944 228
Yes 90 145
set.seed(1)
confusionMatrix(svmr_predictions, test_data$Churn, positive = 'Yes', mode = "everything")
Confusion Matrix and Statistics
Reference
Prediction No Yes
No 944 228
Yes 90 145
Accuracy : 0.774
95% CI : (0.7512, 0.7956)
No Information Rate : 0.7349
P-Value [Acc > NIR] : 0.0004152
Kappa : 0.3422
Mcnemar's Test P-Value : 1.559e-14
Sensitivity : 0.3887
Specificity : 0.9130
Pos Pred Value : 0.6170
Neg Pred Value : 0.8055
Precision : 0.6170
Recall : 0.3887
F1 : 0.4770
Prevalence : 0.2651
Detection Rate : 0.1031
Detection Prevalence : 0.1670
Balanced Accuracy : 0.6508
'Positive' Class : Yes
The AUC of the model is 79 The metrics for Churn = Yes : Precision - 0.61 Recall - 0.38 F1 Score - 0.47
compare=resamples(list(L=lasso,R=ridge,E=enet,Rf= m_rf, smoterf= smote_rf, Gbm=gbm,smotegbm = smote_gbm, svmLinear=svml, svmRadial = svmr))
summary(compare)
Call:
summary.resamples(object = compare)
Models: L, R, E, Rf, smoterf, Gbm, smotegbm, svmLinear, svmRadial
Number of resamples: 10
ROC
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
L 0.8143825 0.8433883 0.8505717 0.8466964 0.8590982 0.8693559 0
R 0.8145446 0.8410620 0.8506361 0.8467245 0.8579670 0.8714976 0
E 0.8146905 0.8427642 0.8508132 0.8468400 0.8586353 0.8700805 0
Rf 0.8081899 0.8259852 0.8393209 0.8377427 0.8496035 0.8710548 0
smoterf 0.8158658 0.8335400 0.8388203 0.8417882 0.8519887 0.8675845 0
Gbm 0.8242308 0.8469061 0.8536594 0.8518877 0.8643136 0.8744605 0
smotegbm 0.8252440 0.8454390 0.8521699 0.8508602 0.8587037 0.8706844 0
svmLinear 0.7968583 0.8244196 0.8334574 0.8297696 0.8360366 0.8684058 0
svmRadial 0.7900010 0.8217364 0.8255096 0.8262664 0.8367532 0.8711111 0
Sens
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
L 0.7028986 0.7210145 0.7439614 0.7376812 0.7518116 0.7657005 0
R 0.7077295 0.7264493 0.7403382 0.7371981 0.7506039 0.7632850 0
E 0.7053140 0.7228261 0.7439614 0.7384058 0.7518116 0.7705314 0
Rf 0.8695652 0.8876812 0.9070048 0.8992754 0.9118357 0.9202899 0
smoterf 0.8478261 0.8804348 0.8864734 0.8840580 0.8925121 0.9130435 0
Gbm 0.7101449 0.7179952 0.7367150 0.7350242 0.7518116 0.7632850 0
smotegbm 0.8405797 0.8544686 0.8671498 0.8664251 0.8798309 0.8937198 0
svmLinear 0.8913043 0.9082126 0.9190821 0.9166667 0.9263285 0.9396135 0
svmRadial 0.9009662 0.9142512 0.9251208 0.9268116 0.9384058 0.9565217 0
Spec
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
L 0.7181208 0.7852349 0.7966667 0.7967293 0.8163423 0.8400000 0
R 0.7248322 0.7896644 0.8100000 0.8027472 0.8196980 0.8400000 0
E 0.7181208 0.7900000 0.8026846 0.8000761 0.8163423 0.8400000 0
Rf 0.4496644 0.5309843 0.5485011 0.5367248 0.5592617 0.5733333 0
smoterf 0.4832215 0.5492617 0.5718792 0.5700940 0.6050000 0.6133333 0
Gbm 0.7382550 0.7872595 0.8066667 0.8067517 0.8358613 0.8666667 0
smotegbm 0.5436242 0.6113870 0.6400000 0.6276063 0.6527517 0.6666667 0
svmLinear 0.4026846 0.4500000 0.4697987 0.4658434 0.4916667 0.5066667 0
svmRadial 0.3422819 0.4187472 0.4530201 0.4444430 0.4700000 0.5133333 0
td<-train_data
ts<-test_data
str(td)
'data.frame': 5636 obs. of 20 variables:
$ gender : Factor w/ 2 levels "Female","Male": 1 2 1 1 2 1 1 2 2 2 ...
$ SeniorCitizen : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 1 1 ...
$ Partner : Factor w/ 2 levels "No","Yes": 2 1 1 1 1 1 2 1 2 2 ...
$ Dependents : Factor w/ 2 levels "No","Yes": 1 1 1 1 2 1 1 2 2 1 ...
$ tenure : Factor w/ 6 levels "0-1 years","1-2 years",..: 1 4 1 1 2 1 3 6 2 5 ...
$ PhoneService : Factor w/ 2 levels "No","Yes": 1 1 2 2 2 1 2 2 2 2 ...
$ MultipleLines : Factor w/ 3 levels "No","No phone service",..: 2 2 1 3 3 2 3 1 1 3 ...
$ InternetService : Factor w/ 3 levels "DSL","Fiber optic",..: 1 1 2 2 2 1 2 1 1 2 ...
$ OnlineSecurity : Factor w/ 3 levels "No","No internet service",..: 1 3 1 1 1 3 1 3 3 1 ...
$ OnlineBackup : Factor w/ 3 levels "No","No internet service",..: 3 1 1 1 3 1 1 3 1 1 ...
$ DeviceProtection: Factor w/ 3 levels "No","No internet service",..: 1 3 1 3 1 1 3 1 1 3 ...
$ TechSupport : Factor w/ 3 levels "No","No internet service",..: 1 3 1 1 1 1 3 1 1 1 ...
$ StreamingTV : Factor w/ 3 levels "No","No internet service",..: 1 1 1 3 3 1 3 1 1 3 ...
$ StreamingMovies : Factor w/ 3 levels "No","No internet service",..: 1 1 1 3 1 1 3 1 1 3 ...
$ Contract : Factor w/ 3 levels "Month-to-month",..: 1 2 1 1 1 1 1 2 1 2 ...
$ PaperlessBilling: Factor w/ 2 levels "No","Yes": 2 1 2 2 2 1 2 1 2 1 ...
$ PaymentMethod : Factor w/ 4 levels "Bank transfer (automatic)",..: 3 1 3 3 2 4 3 1 4 2 ...
$ MonthlyCharges : num 29.9 42.3 70.7 99.7 89.1 ...
$ TotalCharges : num 29.9 1840.8 151.7 820.5 1949.4 ...
$ Churn : Factor w/ 2 levels "No","Yes": 1 1 2 2 1 1 2 1 1 1 ...
factor_levels <- lapply(td[sapply(td, is.factor)], levels)
print(factor_levels)
$gender
[1] "Female" "Male"
$SeniorCitizen
[1] "No" "Yes"
$Partner
[1] "No" "Yes"
$Dependents
[1] "No" "Yes"
$tenure
[1] "0-1 years" "1-2 years" "2-3years" "3-4 years" "4-5 years" "5-6years"
$PhoneService
[1] "No" "Yes"
$MultipleLines
[1] "No" "No phone service" "Yes"
$InternetService
[1] "DSL" "Fiber optic" "No"
$OnlineSecurity
[1] "No" "No internet service" "Yes"
$OnlineBackup
[1] "No" "No internet service" "Yes"
$DeviceProtection
[1] "No" "No internet service" "Yes"
$TechSupport
[1] "No" "No internet service" "Yes"
$StreamingTV
[1] "No" "No internet service" "Yes"
$StreamingMovies
[1] "No" "No internet service" "Yes"
$Contract
[1] "Month-to-month" "One year" "Two year"
$PaperlessBilling
[1] "No" "Yes"
$PaymentMethod
[1] "Bank transfer (automatic)" "Credit card (automatic)" "Electronic check"
[4] "Mailed check"
$Churn
[1] "No" "Yes"
Lets convert the target variable to 0 & 1
td$Churn=as.numeric(td$Churn)-1
Converting Ordered columns to numeric
td$tenure <- as.numeric(factor(td$tenure, levels =
c("0-1 years", "1-2 years", "2-3years", "3-4 years", "4-5 years", "5-6years" ), ordered = TRUE))-1
labels<-td$Churn
td=data.frame(one_hot(data.table(td)))
str(td)
'data.frame': 5636 obs. of 47 variables:
$ gender_Female : int 1 0 1 1 0 1 1 0 0 0 ...
$ gender_Male : int 0 1 0 0 1 0 0 1 1 1 ...
$ SeniorCitizen_No : int 1 1 1 1 1 1 1 1 1 1 ...
$ SeniorCitizen_Yes : int 0 0 0 0 0 0 0 0 0 0 ...
$ Partner_No : int 0 1 1 1 1 1 0 1 0 0 ...
$ Partner_Yes : int 1 0 0 0 0 0 1 0 1 1 ...
$ Dependents_No : int 1 1 1 1 0 1 1 0 0 1 ...
$ Dependents_Yes : int 0 0 0 0 1 0 0 1 1 0 ...
$ tenure : num 0 3 0 0 1 0 2 5 1 4 ...
$ PhoneService_No : int 1 1 0 0 0 1 0 0 0 0 ...
$ PhoneService_Yes : int 0 0 1 1 1 0 1 1 1 1 ...
$ MultipleLines_No : int 0 0 1 0 0 0 0 1 1 0 ...
$ MultipleLines_No.phone.service : int 1 1 0 0 0 1 0 0 0 0 ...
$ MultipleLines_Yes : int 0 0 0 1 1 0 1 0 0 1 ...
$ InternetService_DSL : int 1 1 0 0 0 1 0 1 1 0 ...
$ InternetService_Fiber.optic : int 0 0 1 1 1 0 1 0 0 1 ...
$ InternetService_No : int 0 0 0 0 0 0 0 0 0 0 ...
$ OnlineSecurity_No : int 1 0 1 1 1 0 1 0 0 1 ...
$ OnlineSecurity_No.internet.service : int 0 0 0 0 0 0 0 0 0 0 ...
$ OnlineSecurity_Yes : int 0 1 0 0 0 1 0 1 1 0 ...
$ OnlineBackup_No : int 0 1 1 1 0 1 1 0 1 1 ...
$ OnlineBackup_No.internet.service : int 0 0 0 0 0 0 0 0 0 0 ...
$ OnlineBackup_Yes : int 1 0 0 0 1 0 0 1 0 0 ...
$ DeviceProtection_No : int 1 0 1 0 1 1 0 1 1 0 ...
$ DeviceProtection_No.internet.service : int 0 0 0 0 0 0 0 0 0 0 ...
$ DeviceProtection_Yes : int 0 1 0 1 0 0 1 0 0 1 ...
$ TechSupport_No : int 1 0 1 1 1 1 0 1 1 1 ...
$ TechSupport_No.internet.service : int 0 0 0 0 0 0 0 0 0 0 ...
$ TechSupport_Yes : int 0 1 0 0 0 0 1 0 0 0 ...
$ StreamingTV_No : int 1 1 1 0 0 1 0 1 1 0 ...
$ StreamingTV_No.internet.service : int 0 0 0 0 0 0 0 0 0 0 ...
$ StreamingTV_Yes : int 0 0 0 1 1 0 1 0 0 1 ...
$ StreamingMovies_No : int 1 1 1 0 1 1 0 1 1 0 ...
$ StreamingMovies_No.internet.service : int 0 0 0 0 0 0 0 0 0 0 ...
$ StreamingMovies_Yes : int 0 0 0 1 0 0 1 0 0 1 ...
$ Contract_Month.to.month : int 1 0 1 1 1 1 1 0 1 0 ...
$ Contract_One.year : int 0 1 0 0 0 0 0 1 0 1 ...
$ Contract_Two.year : int 0 0 0 0 0 0 0 0 0 0 ...
$ PaperlessBilling_No : int 0 1 0 0 0 1 0 1 0 1 ...
$ PaperlessBilling_Yes : int 1 0 1 1 1 0 1 0 1 0 ...
$ PaymentMethod_Bank.transfer..automatic.: int 0 1 0 0 0 0 0 1 0 0 ...
$ PaymentMethod_Credit.card..automatic. : int 0 0 0 0 1 0 0 0 0 1 ...
$ PaymentMethod_Electronic.check : int 1 0 1 1 0 0 1 0 0 0 ...
$ PaymentMethod_Mailed.check : int 0 0 0 0 0 1 0 0 1 0 ...
$ MonthlyCharges : num 29.9 42.3 70.7 99.7 89.1 ...
$ TotalCharges : num 29.9 1840.8 151.7 820.5 1949.4 ...
$ Churn : num 0 0 1 1 0 0 1 0 0 0 ...
td$Churn<-NULL
set.seed(1)
in_train=createDataPartition(labels, p=0.9, list=FALSE)
x_train=td[in_train,]
y_train= labels[in_train]
x_test=td[-in_train,]
y_test= labels[-in_train]
numeric_cols<-names(x_train[sapply(x_train, is.numeric) & !sapply(x_train, is.integer)])
col_means_train <- attr(scale(x_train[,numeric_cols]), "scaled:center")
col_stddevs_train <- attr( scale(x_train[,numeric_cols]), "scaled:scale")
x_train[numeric_cols]= scale(x_train[numeric_cols])
x_test[numeric_cols]<- scale(x_test[numeric_cols], center = col_means_train,
scale = col_stddevs_train)
library(keras)
set.seed(1)
model <- keras_model_sequential() %>%
layer_dense(units = 16, activation = "relu",
input_shape = dim(x_train)[2]) %>%
layer_dropout(0.2)%>%
layer_dense(units = 32,activation="relu" ) %>%
layer_dropout(0.5)%>%
layer_dense(units = 1, activation="sigmoid")
2024-05-06 14:21:05.369455: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE SSE2 SSE3 SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
set.seed(1)
model %>% compile(optimizer = 'adam', loss = 'binary_crossentropy', metrics = "acc")
model
Model: "sequential"
_________________________________________________________________________________________________________
Layer (type) Output Shape Param #
=========================================================================================================
dense_2 (Dense) (None, 16) 752
dropout_1 (Dropout) (None, 16) 0
dense_1 (Dense) (None, 32) 544
dropout (Dropout) (None, 32) 0
dense (Dense) (None, 1) 33
=========================================================================================================
Total params: 1329 (5.19 KB)
Trainable params: 1329 (5.19 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________________________________________________
set.seed(1)
history <- model %>% fit(
as.matrix(x_train), y_train, epochs = 30, batch_size = 50,verbose = 2, validation_data=list(as.matrix(x_test), y_test))
Epoch 1/30
102/102 - 6s - loss: 0.5574 - acc: 0.7108 - val_loss: 0.4822 - val_acc: 0.7176 - 6s/epoch - 57ms/step
Epoch 2/30
102/102 - 0s - loss: 0.4757 - acc: 0.7577 - val_loss: 0.4528 - val_acc: 0.7655 - 455ms/epoch - 4ms/step
Epoch 3/30
102/102 - 0s - loss: 0.4507 - acc: 0.7865 - val_loss: 0.4376 - val_acc: 0.7940 - 446ms/epoch - 4ms/step
Epoch 4/30
102/102 - 0s - loss: 0.4495 - acc: 0.7922 - val_loss: 0.4345 - val_acc: 0.7993 - 412ms/epoch - 4ms/step
Epoch 5/30
102/102 - 0s - loss: 0.4435 - acc: 0.7909 - val_loss: 0.4343 - val_acc: 0.7940 - 395ms/epoch - 4ms/step
Epoch 6/30
102/102 - 0s - loss: 0.4385 - acc: 0.7974 - val_loss: 0.4352 - val_acc: 0.7886 - 397ms/epoch - 4ms/step
Epoch 7/30
102/102 - 0s - loss: 0.4371 - acc: 0.7958 - val_loss: 0.4351 - val_acc: 0.7940 - 398ms/epoch - 4ms/step
Epoch 8/30
102/102 - 0s - loss: 0.4345 - acc: 0.8015 - val_loss: 0.4336 - val_acc: 0.7904 - 382ms/epoch - 4ms/step
Epoch 9/30
102/102 - 1s - loss: 0.4284 - acc: 0.8021 - val_loss: 0.4379 - val_acc: 0.7957 - 525ms/epoch - 5ms/step
Epoch 10/30
102/102 - 1s - loss: 0.4283 - acc: 0.8039 - val_loss: 0.4333 - val_acc: 0.7975 - 510ms/epoch - 5ms/step
Epoch 11/30
102/102 - 0s - loss: 0.4312 - acc: 0.8072 - val_loss: 0.4367 - val_acc: 0.7869 - 475ms/epoch - 5ms/step
Epoch 12/30
102/102 - 0s - loss: 0.4206 - acc: 0.8047 - val_loss: 0.4497 - val_acc: 0.7744 - 382ms/epoch - 4ms/step
Epoch 13/30
102/102 - 0s - loss: 0.4272 - acc: 0.8035 - val_loss: 0.4356 - val_acc: 0.7993 - 367ms/epoch - 4ms/step
Epoch 14/30
102/102 - 0s - loss: 0.4214 - acc: 0.8078 - val_loss: 0.4386 - val_acc: 0.7922 - 473ms/epoch - 5ms/step
Epoch 15/30
102/102 - 0s - loss: 0.4201 - acc: 0.8068 - val_loss: 0.4353 - val_acc: 0.7975 - 367ms/epoch - 4ms/step
Epoch 16/30
102/102 - 0s - loss: 0.4220 - acc: 0.8047 - val_loss: 0.4356 - val_acc: 0.7993 - 494ms/epoch - 5ms/step
Epoch 17/30
102/102 - 0s - loss: 0.4221 - acc: 0.8062 - val_loss: 0.4395 - val_acc: 0.7904 - 382ms/epoch - 4ms/step
Epoch 18/30
102/102 - 0s - loss: 0.4245 - acc: 0.8033 - val_loss: 0.4414 - val_acc: 0.7869 - 446ms/epoch - 4ms/step
Epoch 19/30
102/102 - 0s - loss: 0.4204 - acc: 0.8104 - val_loss: 0.4402 - val_acc: 0.7886 - 382ms/epoch - 4ms/step
Epoch 20/30
102/102 - 0s - loss: 0.4205 - acc: 0.8068 - val_loss: 0.4412 - val_acc: 0.7904 - 384ms/epoch - 4ms/step
Epoch 21/30
102/102 - 0s - loss: 0.4180 - acc: 0.8054 - val_loss: 0.4429 - val_acc: 0.7780 - 443ms/epoch - 4ms/step
Epoch 22/30
102/102 - 0s - loss: 0.4217 - acc: 0.8074 - val_loss: 0.4454 - val_acc: 0.7851 - 397ms/epoch - 4ms/step
Epoch 23/30
102/102 - 0s - loss: 0.4186 - acc: 0.8116 - val_loss: 0.4417 - val_acc: 0.7886 - 478ms/epoch - 5ms/step
Epoch 24/30
102/102 - 0s - loss: 0.4182 - acc: 0.8084 - val_loss: 0.4394 - val_acc: 0.7886 - 384ms/epoch - 4ms/step
Epoch 25/30
102/102 - 0s - loss: 0.4206 - acc: 0.8094 - val_loss: 0.4406 - val_acc: 0.7886 - 382ms/epoch - 4ms/step
Epoch 26/30
102/102 - 0s - loss: 0.4173 - acc: 0.8131 - val_loss: 0.4390 - val_acc: 0.7975 - 442ms/epoch - 4ms/step
Epoch 27/30
102/102 - 0s - loss: 0.4118 - acc: 0.8094 - val_loss: 0.4405 - val_acc: 0.7851 - 496ms/epoch - 5ms/step
Epoch 28/30
102/102 - 0s - loss: 0.4125 - acc: 0.8121 - val_loss: 0.4392 - val_acc: 0.7851 - 442ms/epoch - 4ms/step
Epoch 29/30
102/102 - 0s - loss: 0.4135 - acc: 0.8100 - val_loss: 0.4414 - val_acc: 0.7851 - 382ms/epoch - 4ms/step
Epoch 30/30
102/102 - 0s - loss: 0.4119 - acc: 0.8149 - val_loss: 0.4418 - val_acc: 0.7904 - 445ms/epoch - 4ms/step
set.seed(1)
predicted_probs = model%>% predict(as.matrix(x_test))
1/18 [>.............................] - ETA: 1s
18/18 [==============================] - 0s 1ms/step
18/18 [==============================] - 0s 1ms/step
preds_labels = factor(ifelse(predicted_probs>0.5, "1", "0"))
confusionMatrix(preds_labels, as.factor(y_test), positive="1",mode = "everything")
Confusion Matrix and Statistics
Reference
Prediction 0 1
0 375 89
1 29 70
Accuracy : 0.7904
95% CI : (0.7544, 0.8233)
No Information Rate : 0.7176
P-Value [Acc > NIR] : 4.847e-05
Kappa : 0.4161
Mcnemar's Test P-Value : 5.592e-08
Sensitivity : 0.4403
Specificity : 0.9282
Pos Pred Value : 0.7071
Neg Pred Value : 0.8082
Precision : 0.7071
Recall : 0.4403
F1 : 0.5426
Prevalence : 0.2824
Detection Rate : 0.1243
Detection Prevalence : 0.1758
Balanced Accuracy : 0.6842
'Positive' Class : 1
The Auc of the model is 79 the model metrics for positive class precision = 0.70 recall = 0.44 f1score = 0.54
Let’s use class weights
library(keras)
set.seed(1)
model2 <- keras_model_sequential() %>%
layer_dense(units = 16, activation = "relu",
input_shape = dim(x_train)[2]) %>%
layer_dropout(0.2)%>%
layer_dense(units = 32,activation="relu" ) %>%
layer_dropout(0.5)%>%
layer_dense(units = 1, activation="sigmoid")
set.seed(1)
model2 %>% compile(optimizer = 'adam', loss = 'binary_crossentropy', metrics = "acc")
model2
Model: "sequential_1"
_________________________________________________________________________________________________________
Layer (type) Output Shape Param #
=========================================================================================================
dense_5 (Dense) (None, 16) 752
dropout_3 (Dropout) (None, 16) 0
dense_4 (Dense) (None, 32) 544
dropout_2 (Dropout) (None, 32) 0
dense_3 (Dense) (None, 1) 33
=========================================================================================================
Total params: 1329 (5.19 KB)
Trainable params: 1329 (5.19 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________________________________________________
set.seed(1)
history <- model2 %>% fit(
as.matrix(x_train), y_train, epochs = 30, batch_size = 50,verbose = 2, validation_data=list(as.matrix(x_test), y_test),class_weight = list("0"=w_no, "1"=w_yes))
Epoch 1/30
102/102 - 2s - loss: 0.6014 - acc: 0.6700 - val_loss: 0.5104 - val_acc: 0.7496 - 2s/epoch - 20ms/step
Epoch 2/30
102/102 - 0s - loss: 0.5457 - acc: 0.7116 - val_loss: 0.5101 - val_acc: 0.7442 - 472ms/epoch - 5ms/step
Epoch 3/30
102/102 - 1s - loss: 0.5317 - acc: 0.7225 - val_loss: 0.4947 - val_acc: 0.7655 - 557ms/epoch - 5ms/step
Epoch 4/30
102/102 - 1s - loss: 0.5267 - acc: 0.7323 - val_loss: 0.4890 - val_acc: 0.7655 - 539ms/epoch - 5ms/step
Epoch 5/30
102/102 - 0s - loss: 0.5082 - acc: 0.7520 - val_loss: 0.5016 - val_acc: 0.7496 - 462ms/epoch - 5ms/step
Epoch 6/30
102/102 - 0s - loss: 0.5044 - acc: 0.7449 - val_loss: 0.4921 - val_acc: 0.7549 - 415ms/epoch - 4ms/step
Epoch 7/30
102/102 - 1s - loss: 0.5049 - acc: 0.7560 - val_loss: 0.4895 - val_acc: 0.7567 - 585ms/epoch - 6ms/step
Epoch 8/30
102/102 - 0s - loss: 0.4976 - acc: 0.7481 - val_loss: 0.4876 - val_acc: 0.7567 - 399ms/epoch - 4ms/step
Epoch 9/30
102/102 - 1s - loss: 0.5029 - acc: 0.7475 - val_loss: 0.4824 - val_acc: 0.7620 - 507ms/epoch - 5ms/step
Epoch 10/30
102/102 - 0s - loss: 0.5004 - acc: 0.7568 - val_loss: 0.4710 - val_acc: 0.7709 - 383ms/epoch - 4ms/step
Epoch 11/30
102/102 - 0s - loss: 0.4906 - acc: 0.7556 - val_loss: 0.4722 - val_acc: 0.7691 - 493ms/epoch - 5ms/step
Epoch 12/30
102/102 - 0s - loss: 0.4962 - acc: 0.7550 - val_loss: 0.4872 - val_acc: 0.7655 - 396ms/epoch - 4ms/step
Epoch 13/30
102/102 - 0s - loss: 0.4894 - acc: 0.7560 - val_loss: 0.4680 - val_acc: 0.7762 - 462ms/epoch - 5ms/step
Epoch 14/30
102/102 - 0s - loss: 0.4919 - acc: 0.7637 - val_loss: 0.4874 - val_acc: 0.7620 - 397ms/epoch - 4ms/step
Epoch 15/30
102/102 - 0s - loss: 0.4920 - acc: 0.7564 - val_loss: 0.4822 - val_acc: 0.7620 - 443ms/epoch - 4ms/step
Epoch 16/30
102/102 - 0s - loss: 0.4934 - acc: 0.7550 - val_loss: 0.4827 - val_acc: 0.7655 - 412ms/epoch - 4ms/step
Epoch 17/30
102/102 - 0s - loss: 0.4864 - acc: 0.7534 - val_loss: 0.4838 - val_acc: 0.7620 - 382ms/epoch - 4ms/step
Epoch 18/30
102/102 - 0s - loss: 0.4870 - acc: 0.7599 - val_loss: 0.4792 - val_acc: 0.7673 - 460ms/epoch - 5ms/step
Epoch 19/30
102/102 - 0s - loss: 0.4894 - acc: 0.7607 - val_loss: 0.4759 - val_acc: 0.7762 - 383ms/epoch - 4ms/step
Epoch 20/30
102/102 - 0s - loss: 0.4882 - acc: 0.7644 - val_loss: 0.4805 - val_acc: 0.7620 - 476ms/epoch - 5ms/step
Epoch 21/30
102/102 - 0s - loss: 0.4828 - acc: 0.7642 - val_loss: 0.4792 - val_acc: 0.7691 - 380ms/epoch - 4ms/step
Epoch 22/30
102/102 - 0s - loss: 0.4866 - acc: 0.7587 - val_loss: 0.4821 - val_acc: 0.7638 - 382ms/epoch - 4ms/step
Epoch 23/30
102/102 - 0s - loss: 0.4828 - acc: 0.7613 - val_loss: 0.4757 - val_acc: 0.7691 - 459ms/epoch - 4ms/step
Epoch 24/30
102/102 - 0s - loss: 0.4801 - acc: 0.7597 - val_loss: 0.4767 - val_acc: 0.7638 - 397ms/epoch - 4ms/step
Epoch 25/30
102/102 - 0s - loss: 0.4855 - acc: 0.7564 - val_loss: 0.4789 - val_acc: 0.7673 - 444ms/epoch - 4ms/step
Epoch 26/30
102/102 - 0s - loss: 0.4876 - acc: 0.7629 - val_loss: 0.4782 - val_acc: 0.7620 - 380ms/epoch - 4ms/step
Epoch 27/30
102/102 - 0s - loss: 0.4832 - acc: 0.7611 - val_loss: 0.4779 - val_acc: 0.7602 - 415ms/epoch - 4ms/step
Epoch 28/30
102/102 - 0s - loss: 0.4878 - acc: 0.7617 - val_loss: 0.4782 - val_acc: 0.7602 - 397ms/epoch - 4ms/step
Epoch 29/30
102/102 - 0s - loss: 0.4792 - acc: 0.7597 - val_loss: 0.4716 - val_acc: 0.7655 - 383ms/epoch - 4ms/step
Epoch 30/30
102/102 - 0s - loss: 0.4806 - acc: 0.7589 - val_loss: 0.4844 - val_acc: 0.7567 - 459ms/epoch - 4ms/step
set.seed(1)
predicted_probs = model2%>% predict(as.matrix(x_test))
1/18 [>.............................] - ETA: 1s
18/18 [==============================] - 0s 1ms/step
18/18 [==============================] - 0s 1ms/step
preds_labels = factor(ifelse(predicted_probs>0.5, "1", "0"))
confusionMatrix(preds_labels, as.factor(y_test), positive="1",mode = "everything")
Confusion Matrix and Statistics
Reference
Prediction 0 1
0 299 32
1 105 127
Accuracy : 0.7567
95% CI : (0.719, 0.7916)
No Information Rate : 0.7176
P-Value [Acc > NIR] : 0.0209
Kappa : 0.473
Mcnemar's Test P-Value : 7.681e-10
Sensitivity : 0.7987
Specificity : 0.7401
Pos Pred Value : 0.5474
Neg Pred Value : 0.9033
Precision : 0.5474
Recall : 0.7987
F1 : 0.6496
Prevalence : 0.2824
Detection Rate : 0.2256
Detection Prevalence : 0.4121
Balanced Accuracy : 0.7694
'Positive' Class : 1
The auc of the model is 75
The metrics of model for yes class : precision = 0.54 recall = 0.79 f1score = 0.64
Comparatively model with class weights Recall value is higher than imbalanced class lets consider training hyper parameter tuning using class weights
library(tfruns)
set.seed(1)
runs <- tuning_run("Projectscript.R",
flags = list(
nodes = c(16, 32, 64),
nodes2 = c(16, 32, 64),
learning_rate = c(0.01, 0.001),
batch_size = c(20, 50),
epochs = c(30, 50),
activation = c("relu", "sigmoid", "tanh"),
activation2 = c("relu", "sigmoid", "tanh"),
dropout = c(0.2, 0.5),
dropout2 = c(0.2, 0.5)
), sample = 0.02
)
2,592 total combinations of flags
(sampled to 52 combinations)
y
Training run 1/52 (flags = list(64, 64, 0.01, 20, 30, "tanh", "sigmoid", 0.5, 0.2))
Using run directory runs/2024-05-06T19-33-47Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 5:44 - loss: 1.0439 - acc: 0.6500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
16/254 [>.............................] - ETA: 0s - loss: 0.7320 - acc: 0.6500
34/254 [===>..........................] - ETA: 0s - loss: 0.6763 - acc: 0.6309
51/254 [=====>........................] - ETA: 0s - loss: 0.6544 - acc: 0.6402
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159/254 [=================>............] - ETA: 0s - loss: 0.5793 - acc: 0.6940
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193/254 [=====================>........] - ETA: 0s - loss: 0.5683 - acc: 0.7013
210/254 [=======================>......] - ETA: 0s - loss: 0.5584 - acc: 0.7098
228/254 [=========================>....] - ETA: 0s - loss: 0.5503 - acc: 0.7164
247/254 [============================>.] - ETA: 0s - loss: 0.5493 - acc: 0.7184
254/254 [==============================] - 2s 3ms/step - loss: 0.5496 - acc: 0.7171
254/254 [==============================] - 3s 6ms/step - loss: 0.5496 - acc: 0.7171 - val_loss: 0.5016 - val_acc: 0.7549
Epoch 2/30
1/254 [..............................] - ETA: 1s - loss: 0.4603 - acc: 0.7000
16/254 [>.............................] - ETA: 0s - loss: 0.5411 - acc: 0.7250
34/254 [===>..........................] - ETA: 0s - loss: 0.5160 - acc: 0.7412
47/254 [====>.........................] - ETA: 0s - loss: 0.5256 - acc: 0.7457
63/254 [======>.......................] - ETA: 0s - loss: 0.5160 - acc: 0.7429
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95/254 [==========>...................] - ETA: 0s - loss: 0.5039 - acc: 0.7447
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136/254 [===============>..............] - ETA: 0s - loss: 0.4959 - acc: 0.7529
152/254 [================>.............] - ETA: 0s - loss: 0.4986 - acc: 0.7523
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181/254 [====================>.........] - ETA: 0s - loss: 0.4996 - acc: 0.7550
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214/254 [========================>.....] - ETA: 0s - loss: 0.5019 - acc: 0.7512
231/254 [==========================>...] - ETA: 0s - loss: 0.5024 - acc: 0.7522
247/254 [============================>.] - ETA: 0s - loss: 0.5017 - acc: 0.7524
254/254 [==============================] - 1s 3ms/step - loss: 0.5021 - acc: 0.7530
254/254 [==============================] - 1s 4ms/step - loss: 0.5021 - acc: 0.7530 - val_loss: 0.4930 - val_acc: 0.7638
Epoch 3/30
1/254 [..............................] - ETA: 1s - loss: 0.5475 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4374 - acc: 0.8000
35/254 [===>..........................] - ETA: 0s - loss: 0.4402 - acc: 0.7886
52/254 [=====>........................] - ETA: 0s - loss: 0.4564 - acc: 0.7731
68/254 [=======>......................] - ETA: 0s - loss: 0.4590 - acc: 0.7728
86/254 [=========>....................] - ETA: 0s - loss: 0.4686 - acc: 0.7622
103/254 [===========>..................] - ETA: 0s - loss: 0.4732 - acc: 0.7636
118/254 [============>.................] - ETA: 0s - loss: 0.4777 - acc: 0.7589
133/254 [==============>...............] - ETA: 0s - loss: 0.4852 - acc: 0.7568
149/254 [================>.............] - ETA: 0s - loss: 0.4821 - acc: 0.7587
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181/254 [====================>.........] - ETA: 0s - loss: 0.4912 - acc: 0.7561
199/254 [======================>.......] - ETA: 0s - loss: 0.4935 - acc: 0.7495
216/254 [========================>.....] - ETA: 0s - loss: 0.4979 - acc: 0.7486
233/254 [==========================>...] - ETA: 0s - loss: 0.4986 - acc: 0.7506
250/254 [============================>.] - ETA: 0s - loss: 0.5007 - acc: 0.7502
254/254 [==============================] - 1s 3ms/step - loss: 0.4997 - acc: 0.7506
254/254 [==============================] - 1s 4ms/step - loss: 0.4997 - acc: 0.7506 - val_loss: 0.5012 - val_acc: 0.7531
Epoch 4/30
1/254 [..............................] - ETA: 0s - loss: 0.6246 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5580 - acc: 0.6947
38/254 [===>..........................] - ETA: 0s - loss: 0.5041 - acc: 0.7566
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92/254 [=========>....................] - ETA: 0s - loss: 0.5117 - acc: 0.7473
104/254 [===========>..................] - ETA: 0s - loss: 0.5155 - acc: 0.7423
114/254 [============>.................] - ETA: 0s - loss: 0.5156 - acc: 0.7404
131/254 [==============>...............] - ETA: 0s - loss: 0.5124 - acc: 0.7439
147/254 [================>.............] - ETA: 0s - loss: 0.5097 - acc: 0.7463
165/254 [==================>...........] - ETA: 0s - loss: 0.5093 - acc: 0.7491
183/254 [====================>.........] - ETA: 0s - loss: 0.5041 - acc: 0.7536
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202/254 [======================>.......] - ETA: 0s - loss: 0.4982 - acc: 0.7554
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253/254 [============================>.] - ETA: 0s - loss: 0.4986 - acc: 0.7557
254/254 [==============================] - 1s 4ms/step - loss: 0.4986 - acc: 0.7556
254/254 [==============================] - 1s 4ms/step - loss: 0.4986 - acc: 0.7556 - val_loss: 0.4770 - val_acc: 0.7691
Epoch 5/30
1/254 [..............................] - ETA: 0s - loss: 0.6793 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.4787 - acc: 0.7647
37/254 [===>..........................] - ETA: 0s - loss: 0.4932 - acc: 0.7554
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62/254 [======>.......................] - ETA: 0s - loss: 0.4885 - acc: 0.7508
77/254 [========>.....................] - ETA: 0s - loss: 0.4817 - acc: 0.7610
93/254 [=========>....................] - ETA: 0s - loss: 0.4921 - acc: 0.7543
109/254 [===========>..................] - ETA: 0s - loss: 0.4891 - acc: 0.7555
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135/254 [==============>...............] - ETA: 0s - loss: 0.4913 - acc: 0.7574
152/254 [================>.............] - ETA: 0s - loss: 0.4937 - acc: 0.7497
170/254 [===================>..........] - ETA: 0s - loss: 0.4917 - acc: 0.7532
187/254 [=====================>........] - ETA: 0s - loss: 0.4889 - acc: 0.7532
205/254 [=======================>......] - ETA: 0s - loss: 0.4912 - acc: 0.7527
216/254 [========================>.....] - ETA: 0s - loss: 0.4895 - acc: 0.7523
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252/254 [============================>.] - ETA: 0s - loss: 0.4936 - acc: 0.7484
254/254 [==============================] - 1s 3ms/step - loss: 0.4944 - acc: 0.7487
254/254 [==============================] - 1s 4ms/step - loss: 0.4944 - acc: 0.7487 - val_loss: 0.4936 - val_acc: 0.7549
Epoch 6/30
1/254 [..............................] - ETA: 0s - loss: 0.6278 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4252 - acc: 0.7889
36/254 [===>..........................] - ETA: 0s - loss: 0.4583 - acc: 0.7486
40/254 [===>..........................] - ETA: 0s - loss: 0.4638 - acc: 0.7462
58/254 [=====>........................] - ETA: 0s - loss: 0.4827 - acc: 0.7491
75/254 [=======>......................] - ETA: 0s - loss: 0.4860 - acc: 0.7500
88/254 [=========>....................] - ETA: 0s - loss: 0.4756 - acc: 0.7574
106/254 [===========>..................] - ETA: 0s - loss: 0.4748 - acc: 0.7580
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140/254 [===============>..............] - ETA: 0s - loss: 0.4818 - acc: 0.7507
158/254 [=================>............] - ETA: 0s - loss: 0.4815 - acc: 0.7547
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211/254 [=======================>......] - ETA: 0s - loss: 0.4895 - acc: 0.7502
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248/254 [============================>.] - ETA: 0s - loss: 0.4925 - acc: 0.7514
254/254 [==============================] - 1s 3ms/step - loss: 0.4921 - acc: 0.7512
254/254 [==============================] - 1s 4ms/step - loss: 0.4921 - acc: 0.7512 - val_loss: 0.5334 - val_acc: 0.7265
Epoch 7/30
1/254 [..............................] - ETA: 0s - loss: 0.5525 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.5310 - acc: 0.7079
38/254 [===>..........................] - ETA: 0s - loss: 0.5274 - acc: 0.7118
46/254 [====>.........................] - ETA: 0s - loss: 0.5180 - acc: 0.7207
63/254 [======>.......................] - ETA: 0s - loss: 0.5169 - acc: 0.7270
74/254 [=======>......................] - ETA: 0s - loss: 0.5208 - acc: 0.7291
93/254 [=========>....................] - ETA: 0s - loss: 0.5107 - acc: 0.7360
111/254 [============>.................] - ETA: 0s - loss: 0.5007 - acc: 0.7414
129/254 [==============>...............] - ETA: 0s - loss: 0.5089 - acc: 0.7384
148/254 [================>.............] - ETA: 0s - loss: 0.5028 - acc: 0.7443
166/254 [==================>...........] - ETA: 0s - loss: 0.4952 - acc: 0.7488
183/254 [====================>.........] - ETA: 0s - loss: 0.4929 - acc: 0.7492
200/254 [======================>.......] - ETA: 0s - loss: 0.4984 - acc: 0.7448
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235/254 [==========================>...] - ETA: 0s - loss: 0.4944 - acc: 0.7468
252/254 [============================>.] - ETA: 0s - loss: 0.4945 - acc: 0.7478
254/254 [==============================] - 1s 3ms/step - loss: 0.4950 - acc: 0.7475
254/254 [==============================] - 1s 4ms/step - loss: 0.4950 - acc: 0.7475 - val_loss: 0.4899 - val_acc: 0.7496
Epoch 8/30
1/254 [..............................] - ETA: 0s - loss: 0.3778 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4504 - acc: 0.7639
30/254 [==>...........................] - ETA: 0s - loss: 0.5007 - acc: 0.7550
37/254 [===>..........................] - ETA: 0s - loss: 0.5122 - acc: 0.7432
49/254 [====>.........................] - ETA: 0s - loss: 0.5064 - acc: 0.7429
65/254 [======>.......................] - ETA: 0s - loss: 0.5103 - acc: 0.7477
82/254 [========>.....................] - ETA: 0s - loss: 0.5084 - acc: 0.7445
100/254 [==========>...................] - ETA: 0s - loss: 0.5048 - acc: 0.7460
119/254 [=============>................] - ETA: 0s - loss: 0.4949 - acc: 0.7517
137/254 [===============>..............] - ETA: 0s - loss: 0.4935 - acc: 0.7518
154/254 [=================>............] - ETA: 0s - loss: 0.4951 - acc: 0.7484
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190/254 [=====================>........] - ETA: 0s - loss: 0.4987 - acc: 0.7476
208/254 [=======================>......] - ETA: 0s - loss: 0.4980 - acc: 0.7502
226/254 [=========================>....] - ETA: 0s - loss: 0.4968 - acc: 0.7511
244/254 [===========================>..] - ETA: 0s - loss: 0.4956 - acc: 0.7516
254/254 [==============================] - 1s 3ms/step - loss: 0.4949 - acc: 0.7518
254/254 [==============================] - 1s 4ms/step - loss: 0.4949 - acc: 0.7518 - val_loss: 0.4911 - val_acc: 0.7531
Epoch 9/30
1/254 [..............................] - ETA: 0s - loss: 0.5458 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5172 - acc: 0.7139
31/254 [==>...........................] - ETA: 0s - loss: 0.5077 - acc: 0.7145
44/254 [====>.........................] - ETA: 0s - loss: 0.4726 - acc: 0.7455
61/254 [======>.......................] - ETA: 0s - loss: 0.4756 - acc: 0.7475
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94/254 [==========>...................] - ETA: 0s - loss: 0.4677 - acc: 0.7585
112/254 [============>.................] - ETA: 0s - loss: 0.4699 - acc: 0.7527
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148/254 [================>.............] - ETA: 0s - loss: 0.4706 - acc: 0.7551
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184/254 [====================>.........] - ETA: 0s - loss: 0.4791 - acc: 0.7527
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238/254 [===========================>..] - ETA: 0s - loss: 0.4855 - acc: 0.7515
254/254 [==============================] - 1s 3ms/step - loss: 0.4874 - acc: 0.7499
254/254 [==============================] - 1s 4ms/step - loss: 0.4874 - acc: 0.7499 - val_loss: 0.4926 - val_acc: 0.7549
Epoch 10/30
1/254 [..............................] - ETA: 3s - loss: 0.4651 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.5189 - acc: 0.7618
36/254 [===>..........................] - ETA: 0s - loss: 0.5315 - acc: 0.7361
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75/254 [=======>......................] - ETA: 0s - loss: 0.5232 - acc: 0.7267
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161/254 [==================>...........] - ETA: 0s - loss: 0.4896 - acc: 0.7516
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214/254 [========================>.....] - ETA: 0s - loss: 0.4919 - acc: 0.7523
232/254 [==========================>...] - ETA: 0s - loss: 0.4908 - acc: 0.7539
249/254 [============================>.] - ETA: 0s - loss: 0.4920 - acc: 0.7536
254/254 [==============================] - 1s 3ms/step - loss: 0.4918 - acc: 0.7534
254/254 [==============================] - 1s 4ms/step - loss: 0.4918 - acc: 0.7534 - val_loss: 0.4883 - val_acc: 0.7584
Epoch 11/30
1/254 [..............................] - ETA: 1s - loss: 0.3438 - acc: 0.7500
12/254 [>.............................] - ETA: 1s - loss: 0.4842 - acc: 0.7417
24/254 [=>............................] - ETA: 1s - loss: 0.5055 - acc: 0.7333
42/254 [===>..........................] - ETA: 0s - loss: 0.5022 - acc: 0.7310
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111/254 [============>.................] - ETA: 0s - loss: 0.5016 - acc: 0.7401
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251/254 [============================>.] - ETA: 0s - loss: 0.4926 - acc: 0.7428
254/254 [==============================] - 1s 3ms/step - loss: 0.4919 - acc: 0.7437
254/254 [==============================] - 1s 4ms/step - loss: 0.4919 - acc: 0.7437 - val_loss: 0.4748 - val_acc: 0.7655
Epoch 12/30
1/254 [..............................] - ETA: 0s - loss: 0.3748 - acc: 0.8000
10/254 [>.............................] - ETA: 1s - loss: 0.4229 - acc: 0.7900
28/254 [==>...........................] - ETA: 0s - loss: 0.4645 - acc: 0.7839
44/254 [====>.........................] - ETA: 0s - loss: 0.4391 - acc: 0.7909
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248/254 [============================>.] - ETA: 0s - loss: 0.4881 - acc: 0.7560
254/254 [==============================] - 1s 3ms/step - loss: 0.4867 - acc: 0.7569
254/254 [==============================] - 1s 4ms/step - loss: 0.4867 - acc: 0.7569 - val_loss: 0.4790 - val_acc: 0.7602
Epoch 13/30
1/254 [..............................] - ETA: 1s - loss: 0.4106 - acc: 0.8000
5/254 [..............................] - ETA: 3s - loss: 0.4153 - acc: 0.7700
18/254 [=>............................] - ETA: 1s - loss: 0.4977 - acc: 0.7583
34/254 [===>..........................] - ETA: 1s - loss: 0.4856 - acc: 0.7574
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253/254 [============================>.] - ETA: 0s - loss: 0.4846 - acc: 0.7547
254/254 [==============================] - 1s 3ms/step - loss: 0.4850 - acc: 0.7546
254/254 [==============================] - 1s 5ms/step - loss: 0.4850 - acc: 0.7546 - val_loss: 0.4912 - val_acc: 0.7531
Epoch 14/30
1/254 [..............................] - ETA: 0s - loss: 0.5181 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.5225 - acc: 0.7250
35/254 [===>..........................] - ETA: 0s - loss: 0.5132 - acc: 0.7129
52/254 [=====>........................] - ETA: 0s - loss: 0.4819 - acc: 0.7365
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105/254 [===========>..................] - ETA: 0s - loss: 0.4986 - acc: 0.7429
123/254 [=============>................] - ETA: 0s - loss: 0.4947 - acc: 0.7443
141/254 [===============>..............] - ETA: 0s - loss: 0.4982 - acc: 0.7436
158/254 [=================>............] - ETA: 0s - loss: 0.4948 - acc: 0.7440
175/254 [===================>..........] - ETA: 0s - loss: 0.4897 - acc: 0.7491
194/254 [=====================>........] - ETA: 0s - loss: 0.4863 - acc: 0.7508
212/254 [========================>.....] - ETA: 0s - loss: 0.4870 - acc: 0.7505
229/254 [==========================>...] - ETA: 0s - loss: 0.4872 - acc: 0.7491
247/254 [============================>.] - ETA: 0s - loss: 0.4912 - acc: 0.7466
254/254 [==============================] - 1s 3ms/step - loss: 0.4911 - acc: 0.7467
254/254 [==============================] - 1s 4ms/step - loss: 0.4911 - acc: 0.7467 - val_loss: 0.4816 - val_acc: 0.7638
Epoch 15/30
1/254 [..............................] - ETA: 0s - loss: 0.3952 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5080 - acc: 0.7472
36/254 [===>..........................] - ETA: 0s - loss: 0.4961 - acc: 0.7500
53/254 [=====>........................] - ETA: 0s - loss: 0.4841 - acc: 0.7519
70/254 [=======>......................] - ETA: 0s - loss: 0.4835 - acc: 0.7536
88/254 [=========>....................] - ETA: 0s - loss: 0.4798 - acc: 0.7602
106/254 [===========>..................] - ETA: 0s - loss: 0.4818 - acc: 0.7608
124/254 [=============>................] - ETA: 0s - loss: 0.4888 - acc: 0.7556
142/254 [===============>..............] - ETA: 0s - loss: 0.4891 - acc: 0.7535
160/254 [=================>............] - ETA: 0s - loss: 0.4886 - acc: 0.7513
176/254 [===================>..........] - ETA: 0s - loss: 0.4822 - acc: 0.7543
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211/254 [=======================>......] - ETA: 0s - loss: 0.4785 - acc: 0.7555
229/254 [==========================>...] - ETA: 0s - loss: 0.4775 - acc: 0.7559
247/254 [============================>.] - ETA: 0s - loss: 0.4847 - acc: 0.7569
254/254 [==============================] - 1s 3ms/step - loss: 0.4835 - acc: 0.7575
254/254 [==============================] - 1s 4ms/step - loss: 0.4835 - acc: 0.7575 - val_loss: 0.4974 - val_acc: 0.7549
Epoch 16/30
1/254 [..............................] - ETA: 0s - loss: 0.5052 - acc: 0.5500
17/254 [=>............................] - ETA: 0s - loss: 0.4809 - acc: 0.7706
35/254 [===>..........................] - ETA: 0s - loss: 0.4720 - acc: 0.7657
52/254 [=====>........................] - ETA: 0s - loss: 0.4790 - acc: 0.7635
70/254 [=======>......................] - ETA: 0s - loss: 0.4853 - acc: 0.7636
87/254 [=========>....................] - ETA: 0s - loss: 0.4975 - acc: 0.7540
106/254 [===========>..................] - ETA: 0s - loss: 0.4977 - acc: 0.7514
125/254 [=============>................] - ETA: 0s - loss: 0.4970 - acc: 0.7504
142/254 [===============>..............] - ETA: 0s - loss: 0.4942 - acc: 0.7507
160/254 [=================>............] - ETA: 0s - loss: 0.4909 - acc: 0.7516
178/254 [====================>.........] - ETA: 0s - loss: 0.4825 - acc: 0.7556
196/254 [======================>.......] - ETA: 0s - loss: 0.4876 - acc: 0.7536
214/254 [========================>.....] - ETA: 0s - loss: 0.4890 - acc: 0.7514
232/254 [==========================>...] - ETA: 0s - loss: 0.4870 - acc: 0.7537
250/254 [============================>.] - ETA: 0s - loss: 0.4888 - acc: 0.7524
254/254 [==============================] - 1s 3ms/step - loss: 0.4880 - acc: 0.7528
254/254 [==============================] - 1s 4ms/step - loss: 0.4880 - acc: 0.7528 - val_loss: 0.4848 - val_acc: 0.7638
Epoch 17/30
1/254 [..............................] - ETA: 1s - loss: 0.4157 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4622 - acc: 0.7889
36/254 [===>..........................] - ETA: 0s - loss: 0.4986 - acc: 0.7458
52/254 [=====>........................] - ETA: 0s - loss: 0.4880 - acc: 0.7385
69/254 [=======>......................] - ETA: 0s - loss: 0.4797 - acc: 0.7449
86/254 [=========>....................] - ETA: 0s - loss: 0.4805 - acc: 0.7500
105/254 [===========>..................] - ETA: 0s - loss: 0.4722 - acc: 0.7581
122/254 [=============>................] - ETA: 0s - loss: 0.4650 - acc: 0.7639
140/254 [===============>..............] - ETA: 0s - loss: 0.4713 - acc: 0.7650
159/254 [=================>............] - ETA: 0s - loss: 0.4722 - acc: 0.7601
176/254 [===================>..........] - ETA: 0s - loss: 0.4763 - acc: 0.7563
194/254 [=====================>........] - ETA: 0s - loss: 0.4794 - acc: 0.7534
211/254 [=======================>......] - ETA: 0s - loss: 0.4781 - acc: 0.7557
230/254 [==========================>...] - ETA: 0s - loss: 0.4799 - acc: 0.7552
247/254 [============================>.] - ETA: 0s - loss: 0.4841 - acc: 0.7532
254/254 [==============================] - 1s 3ms/step - loss: 0.4836 - acc: 0.7530
254/254 [==============================] - 1s 4ms/step - loss: 0.4836 - acc: 0.7530 - val_loss: 0.5187 - val_acc: 0.7407
Epoch 18/30
1/254 [..............................] - ETA: 0s - loss: 0.6636 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.4735 - acc: 0.7194
34/254 [===>..........................] - ETA: 0s - loss: 0.4830 - acc: 0.7353
52/254 [=====>........................] - ETA: 0s - loss: 0.4595 - acc: 0.7577
64/254 [======>.......................] - ETA: 0s - loss: 0.4651 - acc: 0.7586
74/254 [=======>......................] - ETA: 0s - loss: 0.4752 - acc: 0.7554
89/254 [=========>....................] - ETA: 0s - loss: 0.4741 - acc: 0.7590
108/254 [===========>..................] - ETA: 0s - loss: 0.4778 - acc: 0.7542
124/254 [=============>................] - ETA: 0s - loss: 0.4713 - acc: 0.7569
141/254 [===============>..............] - ETA: 0s - loss: 0.4743 - acc: 0.7571
158/254 [=================>............] - ETA: 0s - loss: 0.4780 - acc: 0.7535
176/254 [===================>..........] - ETA: 0s - loss: 0.4802 - acc: 0.7511
194/254 [=====================>........] - ETA: 0s - loss: 0.4823 - acc: 0.7469
212/254 [========================>.....] - ETA: 0s - loss: 0.4824 - acc: 0.7502
229/254 [==========================>...] - ETA: 0s - loss: 0.4845 - acc: 0.7500
247/254 [============================>.] - ETA: 0s - loss: 0.4847 - acc: 0.7504
254/254 [==============================] - 1s 3ms/step - loss: 0.4839 - acc: 0.7514
254/254 [==============================] - 1s 4ms/step - loss: 0.4839 - acc: 0.7514 - val_loss: 0.4885 - val_acc: 0.7567
Epoch 19/30
1/254 [..............................] - ETA: 0s - loss: 0.3727 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.4524 - acc: 0.7882
35/254 [===>..........................] - ETA: 0s - loss: 0.4615 - acc: 0.7700
52/254 [=====>........................] - ETA: 0s - loss: 0.4635 - acc: 0.7731
69/254 [=======>......................] - ETA: 0s - loss: 0.4659 - acc: 0.7659
87/254 [=========>....................] - ETA: 0s - loss: 0.4842 - acc: 0.7638
105/254 [===========>..................] - ETA: 0s - loss: 0.4841 - acc: 0.7576
123/254 [=============>................] - ETA: 0s - loss: 0.4764 - acc: 0.7606
141/254 [===============>..............] - ETA: 0s - loss: 0.4740 - acc: 0.7635
160/254 [=================>............] - ETA: 0s - loss: 0.4813 - acc: 0.7575
171/254 [===================>..........] - ETA: 0s - loss: 0.4788 - acc: 0.7570
189/254 [=====================>........] - ETA: 0s - loss: 0.4827 - acc: 0.7577
209/254 [=======================>......] - ETA: 0s - loss: 0.4861 - acc: 0.7562
227/254 [=========================>....] - ETA: 0s - loss: 0.4875 - acc: 0.7557
244/254 [===========================>..] - ETA: 0s - loss: 0.4855 - acc: 0.7543
254/254 [==============================] - 1s 3ms/step - loss: 0.4829 - acc: 0.7552
254/254 [==============================] - 1s 4ms/step - loss: 0.4829 - acc: 0.7552 - val_loss: 0.4709 - val_acc: 0.7726
Epoch 20/30
1/254 [..............................] - ETA: 0s - loss: 0.7891 - acc: 0.6500
17/254 [=>............................] - ETA: 0s - loss: 0.5624 - acc: 0.7500
37/254 [===>..........................] - ETA: 0s - loss: 0.5206 - acc: 0.7419
53/254 [=====>........................] - ETA: 0s - loss: 0.5069 - acc: 0.7453
71/254 [=======>......................] - ETA: 0s - loss: 0.4933 - acc: 0.7528
90/254 [=========>....................] - ETA: 0s - loss: 0.4870 - acc: 0.7572
108/254 [===========>..................] - ETA: 0s - loss: 0.4878 - acc: 0.7593
127/254 [==============>...............] - ETA: 0s - loss: 0.4809 - acc: 0.7618
146/254 [================>.............] - ETA: 0s - loss: 0.4865 - acc: 0.7558
163/254 [==================>...........] - ETA: 0s - loss: 0.4869 - acc: 0.7506
182/254 [====================>.........] - ETA: 0s - loss: 0.4868 - acc: 0.7500
200/254 [======================>.......] - ETA: 0s - loss: 0.4871 - acc: 0.7525
219/254 [========================>.....] - ETA: 0s - loss: 0.4831 - acc: 0.7543
238/254 [===========================>..] - ETA: 0s - loss: 0.4826 - acc: 0.7557
254/254 [==============================] - 1s 3ms/step - loss: 0.4792 - acc: 0.7575
254/254 [==============================] - 1s 4ms/step - loss: 0.4792 - acc: 0.7575 - val_loss: 0.4982 - val_acc: 0.7620
Epoch 21/30
1/254 [..............................] - ETA: 0s - loss: 0.3451 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4171 - acc: 0.7611
37/254 [===>..........................] - ETA: 0s - loss: 0.4638 - acc: 0.7622
55/254 [=====>........................] - ETA: 0s - loss: 0.4776 - acc: 0.7555
73/254 [=======>......................] - ETA: 0s - loss: 0.4783 - acc: 0.7527
91/254 [=========>....................] - ETA: 0s - loss: 0.4856 - acc: 0.7527
109/254 [===========>..................] - ETA: 0s - loss: 0.4929 - acc: 0.7518
128/254 [==============>...............] - ETA: 0s - loss: 0.4908 - acc: 0.7512
145/254 [================>.............] - ETA: 0s - loss: 0.4925 - acc: 0.7528
163/254 [==================>...........] - ETA: 0s - loss: 0.4934 - acc: 0.7515
182/254 [====================>.........] - ETA: 0s - loss: 0.4883 - acc: 0.7560
200/254 [======================>.......] - ETA: 0s - loss: 0.4872 - acc: 0.7552
219/254 [========================>.....] - ETA: 0s - loss: 0.4838 - acc: 0.7566
236/254 [==========================>...] - ETA: 0s - loss: 0.4835 - acc: 0.7572
254/254 [==============================] - 1s 3ms/step - loss: 0.4826 - acc: 0.7560
254/254 [==============================] - 1s 4ms/step - loss: 0.4826 - acc: 0.7560 - val_loss: 0.4846 - val_acc: 0.7602
Epoch 22/30
1/254 [..............................] - ETA: 0s - loss: 0.4615 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.4891 - acc: 0.7500
36/254 [===>..........................] - ETA: 0s - loss: 0.4579 - acc: 0.7819
54/254 [=====>........................] - ETA: 0s - loss: 0.4848 - acc: 0.7676
72/254 [=======>......................] - ETA: 0s - loss: 0.4957 - acc: 0.7528
90/254 [=========>....................] - ETA: 0s - loss: 0.4935 - acc: 0.7456
107/254 [===========>..................] - ETA: 0s - loss: 0.4917 - acc: 0.7430
126/254 [=============>................] - ETA: 0s - loss: 0.4910 - acc: 0.7476
142/254 [===============>..............] - ETA: 0s - loss: 0.4872 - acc: 0.7468
161/254 [==================>...........] - ETA: 0s - loss: 0.4740 - acc: 0.7537
179/254 [====================>.........] - ETA: 0s - loss: 0.4741 - acc: 0.7564
197/254 [======================>.......] - ETA: 0s - loss: 0.4779 - acc: 0.7569
216/254 [========================>.....] - ETA: 0s - loss: 0.4831 - acc: 0.7544
232/254 [==========================>...] - ETA: 0s - loss: 0.4839 - acc: 0.7543
250/254 [============================>.] - ETA: 0s - loss: 0.4826 - acc: 0.7546
254/254 [==============================] - 1s 3ms/step - loss: 0.4824 - acc: 0.7556
254/254 [==============================] - 1s 4ms/step - loss: 0.4824 - acc: 0.7556 - val_loss: 0.4703 - val_acc: 0.7762
Epoch 23/30
1/254 [..............................] - ETA: 0s - loss: 0.4165 - acc: 0.8500
18/254 [=>............................] - ETA: 1s - loss: 0.4709 - acc: 0.7694
37/254 [===>..........................] - ETA: 1s - loss: 0.4846 - acc: 0.7500
53/254 [=====>........................] - ETA: 0s - loss: 0.4697 - acc: 0.7613
72/254 [=======>......................] - ETA: 0s - loss: 0.4698 - acc: 0.7583
92/254 [=========>....................] - ETA: 0s - loss: 0.4689 - acc: 0.7603
108/254 [===========>..................] - ETA: 0s - loss: 0.4684 - acc: 0.7597
126/254 [=============>................] - ETA: 0s - loss: 0.4729 - acc: 0.7552
145/254 [================>.............] - ETA: 0s - loss: 0.4755 - acc: 0.7534
164/254 [==================>...........] - ETA: 0s - loss: 0.4764 - acc: 0.7558
183/254 [====================>.........] - ETA: 0s - loss: 0.4804 - acc: 0.7552
201/254 [======================>.......] - ETA: 0s - loss: 0.4808 - acc: 0.7560
218/254 [========================>.....] - ETA: 0s - loss: 0.4820 - acc: 0.7553
237/254 [==========================>...] - ETA: 0s - loss: 0.4824 - acc: 0.7565
254/254 [==============================] - 1s 3ms/step - loss: 0.4818 - acc: 0.7569
254/254 [==============================] - 1s 4ms/step - loss: 0.4818 - acc: 0.7569 - val_loss: 0.4970 - val_acc: 0.7549
Epoch 24/30
1/254 [..............................] - ETA: 0s - loss: 0.5995 - acc: 0.6500
16/254 [>.............................] - ETA: 0s - loss: 0.5243 - acc: 0.7031
35/254 [===>..........................] - ETA: 0s - loss: 0.4989 - acc: 0.7386
50/254 [====>.........................] - ETA: 0s - loss: 0.5006 - acc: 0.7440
68/254 [=======>......................] - ETA: 0s - loss: 0.4804 - acc: 0.7507
87/254 [=========>....................] - ETA: 0s - loss: 0.4771 - acc: 0.7598
106/254 [===========>..................] - ETA: 0s - loss: 0.4766 - acc: 0.7642
125/254 [=============>................] - ETA: 0s - loss: 0.4730 - acc: 0.7640
143/254 [===============>..............] - ETA: 0s - loss: 0.4773 - acc: 0.7594
163/254 [==================>...........] - ETA: 0s - loss: 0.4855 - acc: 0.7528
182/254 [====================>.........] - ETA: 0s - loss: 0.4884 - acc: 0.7536
199/254 [======================>.......] - ETA: 0s - loss: 0.4842 - acc: 0.7570
217/254 [========================>.....] - ETA: 0s - loss: 0.4775 - acc: 0.7592
234/254 [==========================>...] - ETA: 0s - loss: 0.4817 - acc: 0.7568
253/254 [============================>.] - ETA: 0s - loss: 0.4821 - acc: 0.7571
254/254 [==============================] - 1s 3ms/step - loss: 0.4818 - acc: 0.7573
254/254 [==============================] - 1s 4ms/step - loss: 0.4818 - acc: 0.7573 - val_loss: 0.4962 - val_acc: 0.7602
Epoch 25/30
1/254 [..............................] - ETA: 1s - loss: 0.2744 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.4176 - acc: 0.7559
32/254 [==>...........................] - ETA: 0s - loss: 0.4351 - acc: 0.7641
49/254 [====>.........................] - ETA: 0s - loss: 0.4519 - acc: 0.7520
68/254 [=======>......................] - ETA: 0s - loss: 0.4591 - acc: 0.7566
82/254 [========>.....................] - ETA: 0s - loss: 0.4606 - acc: 0.7622
100/254 [==========>...................] - ETA: 0s - loss: 0.4760 - acc: 0.7600
118/254 [============>.................] - ETA: 0s - loss: 0.4783 - acc: 0.7547
135/254 [==============>...............] - ETA: 0s - loss: 0.4771 - acc: 0.7526
153/254 [=================>............] - ETA: 0s - loss: 0.4792 - acc: 0.7549
171/254 [===================>..........] - ETA: 0s - loss: 0.4802 - acc: 0.7544
189/254 [=====================>........] - ETA: 0s - loss: 0.4855 - acc: 0.7532
207/254 [=======================>......] - ETA: 0s - loss: 0.4832 - acc: 0.7563
225/254 [=========================>....] - ETA: 0s - loss: 0.4809 - acc: 0.7556
243/254 [===========================>..] - ETA: 0s - loss: 0.4824 - acc: 0.7549
254/254 [==============================] - 1s 3ms/step - loss: 0.4838 - acc: 0.7558
254/254 [==============================] - 1s 4ms/step - loss: 0.4838 - acc: 0.7558 - val_loss: 0.5081 - val_acc: 0.7496
Epoch 26/30
1/254 [..............................] - ETA: 0s - loss: 0.3986 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4316 - acc: 0.7694
36/254 [===>..........................] - ETA: 0s - loss: 0.4571 - acc: 0.7500
53/254 [=====>........................] - ETA: 0s - loss: 0.4857 - acc: 0.7557
70/254 [=======>......................] - ETA: 0s - loss: 0.4863 - acc: 0.7550
88/254 [=========>....................] - ETA: 0s - loss: 0.4887 - acc: 0.7511
107/254 [===========>..................] - ETA: 0s - loss: 0.4920 - acc: 0.7486
126/254 [=============>................] - ETA: 0s - loss: 0.4966 - acc: 0.7448
140/254 [===============>..............] - ETA: 0s - loss: 0.4944 - acc: 0.7436
158/254 [=================>............] - ETA: 0s - loss: 0.4913 - acc: 0.7440
176/254 [===================>..........] - ETA: 0s - loss: 0.4851 - acc: 0.7486
191/254 [=====================>........] - ETA: 0s - loss: 0.4872 - acc: 0.7490
211/254 [=======================>......] - ETA: 0s - loss: 0.4848 - acc: 0.7512
230/254 [==========================>...] - ETA: 0s - loss: 0.4846 - acc: 0.7526
248/254 [============================>.] - ETA: 0s - loss: 0.4829 - acc: 0.7573
254/254 [==============================] - 1s 3ms/step - loss: 0.4815 - acc: 0.7583
254/254 [==============================] - 1s 4ms/step - loss: 0.4815 - acc: 0.7583 - val_loss: 0.5141 - val_acc: 0.7496
Epoch 27/30
1/254 [..............................] - ETA: 0s - loss: 0.3186 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4590 - acc: 0.7611
35/254 [===>..........................] - ETA: 0s - loss: 0.4705 - acc: 0.7529
53/254 [=====>........................] - ETA: 0s - loss: 0.4708 - acc: 0.7604
71/254 [=======>......................] - ETA: 0s - loss: 0.4690 - acc: 0.7676
89/254 [=========>....................] - ETA: 0s - loss: 0.4741 - acc: 0.7562
107/254 [===========>..................] - ETA: 0s - loss: 0.4769 - acc: 0.7589
126/254 [=============>................] - ETA: 0s - loss: 0.4769 - acc: 0.7583
143/254 [===============>..............] - ETA: 0s - loss: 0.4793 - acc: 0.7584
161/254 [==================>...........] - ETA: 0s - loss: 0.4819 - acc: 0.7559
166/254 [==================>...........] - ETA: 0s - loss: 0.4815 - acc: 0.7545
185/254 [====================>.........] - ETA: 0s - loss: 0.4759 - acc: 0.7592
199/254 [======================>.......] - ETA: 0s - loss: 0.4756 - acc: 0.7598
216/254 [========================>.....] - ETA: 0s - loss: 0.4781 - acc: 0.7560
233/254 [==========================>...] - ETA: 0s - loss: 0.4792 - acc: 0.7552
250/254 [============================>.] - ETA: 0s - loss: 0.4817 - acc: 0.7552
254/254 [==============================] - 1s 3ms/step - loss: 0.4813 - acc: 0.7556
254/254 [==============================] - 1s 4ms/step - loss: 0.4813 - acc: 0.7556 - val_loss: 0.4901 - val_acc: 0.7620
Epoch 28/30
1/254 [..............................] - ETA: 1s - loss: 0.4752 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5065 - acc: 0.7361
37/254 [===>..........................] - ETA: 0s - loss: 0.4912 - acc: 0.7622
55/254 [=====>........................] - ETA: 0s - loss: 0.4580 - acc: 0.7773
72/254 [=======>......................] - ETA: 0s - loss: 0.4567 - acc: 0.7688
90/254 [=========>....................] - ETA: 0s - loss: 0.4515 - acc: 0.7700
107/254 [===========>..................] - ETA: 0s - loss: 0.4688 - acc: 0.7650
126/254 [=============>................] - ETA: 0s - loss: 0.4657 - acc: 0.7687
144/254 [================>.............] - ETA: 0s - loss: 0.4669 - acc: 0.7663
163/254 [==================>...........] - ETA: 0s - loss: 0.4741 - acc: 0.7610
180/254 [====================>.........] - ETA: 0s - loss: 0.4785 - acc: 0.7592
198/254 [======================>.......] - ETA: 0s - loss: 0.4810 - acc: 0.7523
216/254 [========================>.....] - ETA: 0s - loss: 0.4836 - acc: 0.7519
234/254 [==========================>...] - ETA: 0s - loss: 0.4813 - acc: 0.7543
252/254 [============================>.] - ETA: 0s - loss: 0.4810 - acc: 0.7536
254/254 [==============================] - 1s 3ms/step - loss: 0.4802 - acc: 0.7540
254/254 [==============================] - 1s 4ms/step - loss: 0.4802 - acc: 0.7540 - val_loss: 0.4756 - val_acc: 0.7691
Epoch 29/30
1/254 [..............................] - ETA: 0s - loss: 0.5777 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.4588 - acc: 0.7868
38/254 [===>..........................] - ETA: 0s - loss: 0.4827 - acc: 0.7632
55/254 [=====>........................] - ETA: 0s - loss: 0.4801 - acc: 0.7582
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91/254 [=========>....................] - ETA: 0s - loss: 0.4815 - acc: 0.7604
109/254 [===========>..................] - ETA: 0s - loss: 0.4822 - acc: 0.7638
128/254 [==============>...............] - ETA: 0s - loss: 0.4841 - acc: 0.7617
145/254 [================>.............] - ETA: 0s - loss: 0.4804 - acc: 0.7628
163/254 [==================>...........] - ETA: 0s - loss: 0.4731 - acc: 0.7641
181/254 [====================>.........] - ETA: 0s - loss: 0.4817 - acc: 0.7622
199/254 [======================>.......] - ETA: 0s - loss: 0.4771 - acc: 0.7638
218/254 [========================>.....] - ETA: 0s - loss: 0.4743 - acc: 0.7651
236/254 [==========================>...] - ETA: 0s - loss: 0.4768 - acc: 0.7623
254/254 [==============================] - 1s 3ms/step - loss: 0.4768 - acc: 0.7631
254/254 [==============================] - 1s 4ms/step - loss: 0.4768 - acc: 0.7631 - val_loss: 0.4856 - val_acc: 0.7638
Epoch 30/30
1/254 [..............................] - ETA: 1s - loss: 0.6415 - acc: 0.8000
16/254 [>.............................] - ETA: 0s - loss: 0.5317 - acc: 0.7312
35/254 [===>..........................] - ETA: 0s - loss: 0.5085 - acc: 0.7371
53/254 [=====>........................] - ETA: 0s - loss: 0.4959 - acc: 0.7509
72/254 [=======>......................] - ETA: 0s - loss: 0.4958 - acc: 0.7493
91/254 [=========>....................] - ETA: 0s - loss: 0.5017 - acc: 0.7467
105/254 [===========>..................] - ETA: 0s - loss: 0.4985 - acc: 0.7529
123/254 [=============>................] - ETA: 0s - loss: 0.4915 - acc: 0.7565
142/254 [===============>..............] - ETA: 0s - loss: 0.4845 - acc: 0.7574
156/254 [=================>............] - ETA: 0s - loss: 0.4844 - acc: 0.7567
174/254 [===================>..........] - ETA: 0s - loss: 0.4849 - acc: 0.7580
192/254 [=====================>........] - ETA: 0s - loss: 0.4763 - acc: 0.7602
211/254 [=======================>......] - ETA: 0s - loss: 0.4763 - acc: 0.7597
228/254 [=========================>....] - ETA: 0s - loss: 0.4745 - acc: 0.7623
245/254 [===========================>..] - ETA: 0s - loss: 0.4827 - acc: 0.7612
254/254 [==============================] - 1s 3ms/step - loss: 0.4797 - acc: 0.7619
254/254 [==============================] - 1s 4ms/step - loss: 0.4797 - acc: 0.7619 - val_loss: 0.5044 - val_acc: 0.7442
Run completed: runs/2024-05-06T19-33-47Z
Training run 2/52 (flags = list(16, 32, 0.001, 50, 30, "relu", "relu", 0.5, 0.2))
Using run directory runs/2024-05-06T19-34-22Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 1:59 - loss: 0.6180 - acc: 0.6400
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0285s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0285s). Check your callbacks.
20/102 [====>.........................] - ETA: 0s - loss: 0.7073 - acc: 0.6190
38/102 [==========>...................] - ETA: 0s - loss: 0.6789 - acc: 0.6147
54/102 [==============>...............] - ETA: 0s - loss: 0.6728 - acc: 0.6119
72/102 [====================>.........] - ETA: 0s - loss: 0.6645 - acc: 0.6111
90/102 [=========================>....] - ETA: 0s - loss: 0.6560 - acc: 0.6196
102/102 [==============================] - 1s 3ms/step - loss: 0.6427 - acc: 0.6274
102/102 [==============================] - 2s 11ms/step - loss: 0.6427 - acc: 0.6274 - val_loss: 0.5621 - val_acc: 0.7282
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.5455 - acc: 0.7400
11/102 [==>...........................] - ETA: 0s - loss: 0.5809 - acc: 0.6691
27/102 [======>.......................] - ETA: 0s - loss: 0.5752 - acc: 0.7000
43/102 [===========>..................] - ETA: 0s - loss: 0.5646 - acc: 0.7102
62/102 [=================>............] - ETA: 0s - loss: 0.5734 - acc: 0.7048
80/102 [======================>.......] - ETA: 0s - loss: 0.5740 - acc: 0.7048
92/102 [==========================>...] - ETA: 0s - loss: 0.5711 - acc: 0.7083
102/102 [==============================] - 0s 3ms/step - loss: 0.5679 - acc: 0.7071
102/102 [==============================] - 1s 6ms/step - loss: 0.5679 - acc: 0.7071 - val_loss: 0.5415 - val_acc: 0.7336
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.5928 - acc: 0.6400
19/102 [====>.........................] - ETA: 0s - loss: 0.5756 - acc: 0.6737
38/102 [==========>...................] - ETA: 0s - loss: 0.5746 - acc: 0.7005
56/102 [===============>..............] - ETA: 0s - loss: 0.5735 - acc: 0.7014
75/102 [=====================>........] - ETA: 0s - loss: 0.5657 - acc: 0.7035
94/102 [==========================>...] - ETA: 0s - loss: 0.5624 - acc: 0.7074
102/102 [==============================] - 0s 3ms/step - loss: 0.5579 - acc: 0.7134
102/102 [==============================] - 1s 5ms/step - loss: 0.5579 - acc: 0.7134 - val_loss: 0.5157 - val_acc: 0.7584
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.6122 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.5818 - acc: 0.7035
37/102 [=========>....................] - ETA: 0s - loss: 0.5562 - acc: 0.7076
56/102 [===============>..............] - ETA: 0s - loss: 0.5434 - acc: 0.7175
74/102 [====================>.........] - ETA: 0s - loss: 0.5439 - acc: 0.7254
92/102 [==========================>...] - ETA: 0s - loss: 0.5461 - acc: 0.7270
102/102 [==============================] - 0s 3ms/step - loss: 0.5462 - acc: 0.7256
102/102 [==============================] - 1s 5ms/step - loss: 0.5462 - acc: 0.7256 - val_loss: 0.5165 - val_acc: 0.7531
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.7304 - acc: 0.6400
19/102 [====>.........................] - ETA: 0s - loss: 0.5433 - acc: 0.7379
30/102 [=======>......................] - ETA: 0s - loss: 0.5329 - acc: 0.7427
48/102 [=============>................] - ETA: 0s - loss: 0.5304 - acc: 0.7371
55/102 [===============>..............] - ETA: 0s - loss: 0.5293 - acc: 0.7382
73/102 [====================>.........] - ETA: 0s - loss: 0.5273 - acc: 0.7405
89/102 [=========================>....] - ETA: 0s - loss: 0.5340 - acc: 0.7373
102/102 [==============================] - 0s 3ms/step - loss: 0.5311 - acc: 0.7392
102/102 [==============================] - 1s 6ms/step - loss: 0.5311 - acc: 0.7392 - val_loss: 0.5007 - val_acc: 0.7620
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.5272 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.5263 - acc: 0.7278
37/102 [=========>....................] - ETA: 0s - loss: 0.5310 - acc: 0.7427
55/102 [===============>..............] - ETA: 0s - loss: 0.5388 - acc: 0.7313
73/102 [====================>.........] - ETA: 0s - loss: 0.5278 - acc: 0.7359
91/102 [=========================>....] - ETA: 0s - loss: 0.5248 - acc: 0.7407
102/102 [==============================] - 0s 3ms/step - loss: 0.5233 - acc: 0.7422
102/102 [==============================] - 1s 5ms/step - loss: 0.5233 - acc: 0.7422 - val_loss: 0.5055 - val_acc: 0.7496
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.4950 - acc: 0.6600
17/102 [====>.........................] - ETA: 0s - loss: 0.5097 - acc: 0.7318
36/102 [=========>....................] - ETA: 0s - loss: 0.5046 - acc: 0.7444
50/102 [=============>................] - ETA: 0s - loss: 0.5074 - acc: 0.7448
62/102 [=================>............] - ETA: 0s - loss: 0.5169 - acc: 0.7397
79/102 [======================>.......] - ETA: 0s - loss: 0.5239 - acc: 0.7352
97/102 [===========================>..] - ETA: 0s - loss: 0.5203 - acc: 0.7373
102/102 [==============================] - 0s 3ms/step - loss: 0.5208 - acc: 0.7363
102/102 [==============================] - 1s 6ms/step - loss: 0.5208 - acc: 0.7363 - val_loss: 0.4985 - val_acc: 0.7549
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.8123 - acc: 0.6000
18/102 [====>.........................] - ETA: 0s - loss: 0.5240 - acc: 0.7344
37/102 [=========>....................] - ETA: 0s - loss: 0.5277 - acc: 0.7308
55/102 [===============>..............] - ETA: 0s - loss: 0.5229 - acc: 0.7204
73/102 [====================>.........] - ETA: 0s - loss: 0.5139 - acc: 0.7279
91/102 [=========================>....] - ETA: 0s - loss: 0.5129 - acc: 0.7301
102/102 [==============================] - 0s 3ms/step - loss: 0.5090 - acc: 0.7325
102/102 [==============================] - 1s 5ms/step - loss: 0.5090 - acc: 0.7325 - val_loss: 0.4887 - val_acc: 0.7620
Epoch 9/30
1/102 [..............................] - ETA: 1s - loss: 0.7067 - acc: 0.6600
18/102 [====>.........................] - ETA: 0s - loss: 0.5480 - acc: 0.7422
37/102 [=========>....................] - ETA: 0s - loss: 0.5275 - acc: 0.7297
46/102 [============>.................] - ETA: 0s - loss: 0.5250 - acc: 0.7361
64/102 [=================>............] - ETA: 0s - loss: 0.5198 - acc: 0.7328
79/102 [======================>.......] - ETA: 0s - loss: 0.5220 - acc: 0.7334
94/102 [==========================>...] - ETA: 0s - loss: 0.5169 - acc: 0.7377
102/102 [==============================] - 0s 3ms/step - loss: 0.5162 - acc: 0.7406
102/102 [==============================] - 1s 6ms/step - loss: 0.5162 - acc: 0.7406 - val_loss: 0.4978 - val_acc: 0.7513
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.4754 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5055 - acc: 0.7522
37/102 [=========>....................] - ETA: 0s - loss: 0.5019 - acc: 0.7405
50/102 [=============>................] - ETA: 0s - loss: 0.4955 - acc: 0.7484
61/102 [================>.............] - ETA: 0s - loss: 0.5015 - acc: 0.7403
75/102 [=====================>........] - ETA: 0s - loss: 0.5082 - acc: 0.7389
94/102 [==========================>...] - ETA: 0s - loss: 0.5036 - acc: 0.7453
102/102 [==============================] - 0s 4ms/step - loss: 0.5032 - acc: 0.7459
102/102 [==============================] - 1s 7ms/step - loss: 0.5032 - acc: 0.7459 - val_loss: 0.4946 - val_acc: 0.7602
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.4519 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5001 - acc: 0.7500
38/102 [==========>...................] - ETA: 0s - loss: 0.4995 - acc: 0.7521
56/102 [===============>..............] - ETA: 0s - loss: 0.5026 - acc: 0.7386
74/102 [====================>.........] - ETA: 0s - loss: 0.4940 - acc: 0.7424
93/102 [==========================>...] - ETA: 0s - loss: 0.4954 - acc: 0.7409
102/102 [==============================] - 0s 3ms/step - loss: 0.4971 - acc: 0.7396
102/102 [==============================] - 1s 5ms/step - loss: 0.4971 - acc: 0.7396 - val_loss: 0.4885 - val_acc: 0.7620
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.5020 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.5026 - acc: 0.7433
27/102 [======>.......................] - ETA: 0s - loss: 0.4919 - acc: 0.7415
45/102 [============>.................] - ETA: 0s - loss: 0.5102 - acc: 0.7431
63/102 [=================>............] - ETA: 0s - loss: 0.5022 - acc: 0.7441
77/102 [=====================>........] - ETA: 0s - loss: 0.5097 - acc: 0.7382
93/102 [==========================>...] - ETA: 0s - loss: 0.5050 - acc: 0.7357
102/102 [==============================] - 0s 3ms/step - loss: 0.5028 - acc: 0.7370
102/102 [==============================] - 1s 6ms/step - loss: 0.5028 - acc: 0.7370 - val_loss: 0.4850 - val_acc: 0.7673
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.7898 - acc: 0.5600
18/102 [====>.........................] - ETA: 0s - loss: 0.4990 - acc: 0.7344
35/102 [=========>....................] - ETA: 0s - loss: 0.5096 - acc: 0.7337
53/102 [==============>...............] - ETA: 0s - loss: 0.5085 - acc: 0.7355
70/102 [===================>..........] - ETA: 0s - loss: 0.5023 - acc: 0.7409
88/102 [========================>.....] - ETA: 0s - loss: 0.5005 - acc: 0.7402
102/102 [==============================] - 0s 3ms/step - loss: 0.4990 - acc: 0.7431
102/102 [==============================] - 0s 5ms/step - loss: 0.4990 - acc: 0.7431 - val_loss: 0.4886 - val_acc: 0.7673
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.3914 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.4920 - acc: 0.7459
26/102 [======>.......................] - ETA: 0s - loss: 0.4974 - acc: 0.7569
31/102 [========>.....................] - ETA: 0s - loss: 0.5050 - acc: 0.7503
48/102 [=============>................] - ETA: 0s - loss: 0.5044 - acc: 0.7458
66/102 [==================>...........] - ETA: 0s - loss: 0.4936 - acc: 0.7458
84/102 [=======================>......] - ETA: 0s - loss: 0.4844 - acc: 0.7486
102/102 [==============================] - 0s 4ms/step - loss: 0.4954 - acc: 0.7461
102/102 [==============================] - 1s 6ms/step - loss: 0.4954 - acc: 0.7461 - val_loss: 0.4863 - val_acc: 0.7673
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.4785 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.4917 - acc: 0.7389
37/102 [=========>....................] - ETA: 0s - loss: 0.4963 - acc: 0.7449
55/102 [===============>..............] - ETA: 0s - loss: 0.4986 - acc: 0.7444
72/102 [====================>.........] - ETA: 0s - loss: 0.4953 - acc: 0.7456
90/102 [=========================>....] - ETA: 0s - loss: 0.4932 - acc: 0.7418
102/102 [==============================] - 0s 3ms/step - loss: 0.4947 - acc: 0.7461
102/102 [==============================] - 1s 6ms/step - loss: 0.4947 - acc: 0.7461 - val_loss: 0.4815 - val_acc: 0.7673
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.6056 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.4973 - acc: 0.7576
36/102 [=========>....................] - ETA: 0s - loss: 0.5035 - acc: 0.7511
54/102 [==============>...............] - ETA: 0s - loss: 0.5063 - acc: 0.7415
72/102 [====================>.........] - ETA: 0s - loss: 0.4990 - acc: 0.7400
91/102 [=========================>....] - ETA: 0s - loss: 0.4959 - acc: 0.7426
102/102 [==============================] - 0s 3ms/step - loss: 0.4917 - acc: 0.7445
102/102 [==============================] - 1s 5ms/step - loss: 0.4917 - acc: 0.7445 - val_loss: 0.4856 - val_acc: 0.7655
Epoch 17/30
1/102 [..............................] - ETA: 0s - loss: 0.3406 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.4685 - acc: 0.7656
35/102 [=========>....................] - ETA: 0s - loss: 0.5015 - acc: 0.7469
54/102 [==============>...............] - ETA: 0s - loss: 0.4948 - acc: 0.7493
70/102 [===================>..........] - ETA: 0s - loss: 0.4891 - acc: 0.7497
78/102 [=====================>........] - ETA: 0s - loss: 0.4874 - acc: 0.7515
95/102 [==========================>...] - ETA: 0s - loss: 0.4991 - acc: 0.7509
101/102 [============================>.] - ETA: 0s - loss: 0.5012 - acc: 0.7499
102/102 [==============================] - 0s 4ms/step - loss: 0.5007 - acc: 0.7500
102/102 [==============================] - 1s 6ms/step - loss: 0.5007 - acc: 0.7500 - val_loss: 0.5002 - val_acc: 0.7567
Epoch 18/30
1/102 [..............................] - ETA: 0s - loss: 0.4701 - acc: 0.7600
19/102 [====>.........................] - ETA: 0s - loss: 0.4855 - acc: 0.7347
39/102 [==========>...................] - ETA: 0s - loss: 0.4830 - acc: 0.7405
55/102 [===============>..............] - ETA: 0s - loss: 0.4868 - acc: 0.7451
74/102 [====================>.........] - ETA: 0s - loss: 0.4908 - acc: 0.7400
93/102 [==========================>...] - ETA: 0s - loss: 0.4965 - acc: 0.7389
102/102 [==============================] - 0s 3ms/step - loss: 0.4931 - acc: 0.7430
102/102 [==============================] - 1s 6ms/step - loss: 0.4931 - acc: 0.7430 - val_loss: 0.5040 - val_acc: 0.7513
Epoch 19/30
1/102 [..............................] - ETA: 0s - loss: 0.4906 - acc: 0.8400
16/102 [===>..........................] - ETA: 0s - loss: 0.4835 - acc: 0.7600
33/102 [========>.....................] - ETA: 0s - loss: 0.4956 - acc: 0.7618
48/102 [=============>................] - ETA: 0s - loss: 0.4898 - acc: 0.7588
66/102 [==================>...........] - ETA: 0s - loss: 0.4852 - acc: 0.7542
85/102 [========================>.....] - ETA: 0s - loss: 0.4888 - acc: 0.7579
102/102 [==============================] - 0s 3ms/step - loss: 0.4931 - acc: 0.7526
102/102 [==============================] - 1s 6ms/step - loss: 0.4931 - acc: 0.7526 - val_loss: 0.4967 - val_acc: 0.7638
Epoch 20/30
1/102 [..............................] - ETA: 0s - loss: 0.5309 - acc: 0.7000
19/102 [====>.........................] - ETA: 0s - loss: 0.5162 - acc: 0.7284
34/102 [=========>....................] - ETA: 0s - loss: 0.4935 - acc: 0.7406
52/102 [==============>...............] - ETA: 0s - loss: 0.4993 - acc: 0.7419
70/102 [===================>..........] - ETA: 0s - loss: 0.4955 - acc: 0.7431
86/102 [========================>.....] - ETA: 0s - loss: 0.4895 - acc: 0.7458
102/102 [==============================] - 0s 3ms/step - loss: 0.4933 - acc: 0.7447
102/102 [==============================] - 1s 5ms/step - loss: 0.4933 - acc: 0.7447 - val_loss: 0.4944 - val_acc: 0.7531
Epoch 21/30
1/102 [..............................] - ETA: 0s - loss: 0.5766 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.4887 - acc: 0.7412
36/102 [=========>....................] - ETA: 0s - loss: 0.4977 - acc: 0.7383
55/102 [===============>..............] - ETA: 0s - loss: 0.4886 - acc: 0.7407
74/102 [====================>.........] - ETA: 0s - loss: 0.4859 - acc: 0.7468
92/102 [==========================>...] - ETA: 0s - loss: 0.4881 - acc: 0.7461
102/102 [==============================] - 0s 3ms/step - loss: 0.4874 - acc: 0.7461
102/102 [==============================] - 1s 5ms/step - loss: 0.4874 - acc: 0.7461 - val_loss: 0.4854 - val_acc: 0.7531
Epoch 22/30
1/102 [..............................] - ETA: 0s - loss: 0.3982 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.4868 - acc: 0.7667
38/102 [==========>...................] - ETA: 0s - loss: 0.4931 - acc: 0.7563
56/102 [===============>..............] - ETA: 0s - loss: 0.4979 - acc: 0.7496
74/102 [====================>.........] - ETA: 0s - loss: 0.5053 - acc: 0.7451
93/102 [==========================>...] - ETA: 0s - loss: 0.4991 - acc: 0.7432
102/102 [==============================] - 0s 3ms/step - loss: 0.4954 - acc: 0.7437
102/102 [==============================] - 1s 6ms/step - loss: 0.4954 - acc: 0.7437 - val_loss: 0.4795 - val_acc: 0.7691
Epoch 23/30
1/102 [..............................] - ETA: 0s - loss: 0.5612 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.4843 - acc: 0.7711
36/102 [=========>....................] - ETA: 0s - loss: 0.4891 - acc: 0.7622
55/102 [===============>..............] - ETA: 0s - loss: 0.4838 - acc: 0.7556
73/102 [====================>.........] - ETA: 0s - loss: 0.4937 - acc: 0.7521
92/102 [==========================>...] - ETA: 0s - loss: 0.4927 - acc: 0.7520
102/102 [==============================] - 0s 3ms/step - loss: 0.4970 - acc: 0.7463
102/102 [==============================] - 0s 5ms/step - loss: 0.4970 - acc: 0.7463 - val_loss: 0.4988 - val_acc: 0.7584
Epoch 24/30
1/102 [..............................] - ETA: 0s - loss: 0.5275 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.4777 - acc: 0.7541
36/102 [=========>....................] - ETA: 0s - loss: 0.4930 - acc: 0.7511
53/102 [==============>...............] - ETA: 0s - loss: 0.4897 - acc: 0.7521
69/102 [===================>..........] - ETA: 0s - loss: 0.4933 - acc: 0.7519
76/102 [=====================>........] - ETA: 0s - loss: 0.4966 - acc: 0.7500
89/102 [=========================>....] - ETA: 0s - loss: 0.4996 - acc: 0.7483
99/102 [============================>.] - ETA: 0s - loss: 0.4984 - acc: 0.7493
102/102 [==============================] - 0s 4ms/step - loss: 0.4969 - acc: 0.7500
102/102 [==============================] - 1s 6ms/step - loss: 0.4969 - acc: 0.7500 - val_loss: 0.5012 - val_acc: 0.7584
Epoch 25/30
1/102 [..............................] - ETA: 0s - loss: 0.5892 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.4938 - acc: 0.7489
38/102 [==========>...................] - ETA: 0s - loss: 0.4700 - acc: 0.7547
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94/102 [==========================>...] - ETA: 0s - loss: 0.4826 - acc: 0.7557
102/102 [==============================] - 0s 3ms/step - loss: 0.4871 - acc: 0.7530
102/102 [==============================] - 1s 5ms/step - loss: 0.4871 - acc: 0.7530 - val_loss: 0.5022 - val_acc: 0.7549
Epoch 26/30
1/102 [..............................] - ETA: 0s - loss: 0.4690 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.4900 - acc: 0.7300
32/102 [========>.....................] - ETA: 0s - loss: 0.5010 - acc: 0.7375
44/102 [===========>..................] - ETA: 0s - loss: 0.4955 - acc: 0.7459
57/102 [===============>..............] - ETA: 0s - loss: 0.4945 - acc: 0.7470
70/102 [===================>..........] - ETA: 0s - loss: 0.4961 - acc: 0.7483
85/102 [========================>.....] - ETA: 0s - loss: 0.4919 - acc: 0.7529
101/102 [============================>.] - ETA: 0s - loss: 0.4882 - acc: 0.7556
102/102 [==============================] - 0s 4ms/step - loss: 0.4876 - acc: 0.7556
102/102 [==============================] - 1s 6ms/step - loss: 0.4876 - acc: 0.7556 - val_loss: 0.4952 - val_acc: 0.7584
Epoch 27/30
1/102 [..............................] - ETA: 0s - loss: 0.4306 - acc: 0.8400
18/102 [====>.........................] - ETA: 0s - loss: 0.4585 - acc: 0.7878
36/102 [=========>....................] - ETA: 0s - loss: 0.4718 - acc: 0.7683
53/102 [==============>...............] - ETA: 0s - loss: 0.4846 - acc: 0.7589
71/102 [===================>..........] - ETA: 0s - loss: 0.4873 - acc: 0.7617
89/102 [=========================>....] - ETA: 0s - loss: 0.4871 - acc: 0.7564
102/102 [==============================] - 0s 3ms/step - loss: 0.4891 - acc: 0.7518
102/102 [==============================] - 1s 7ms/step - loss: 0.4891 - acc: 0.7518 - val_loss: 0.5001 - val_acc: 0.7620
Epoch 28/30
1/102 [..............................] - ETA: 0s - loss: 0.3721 - acc: 0.8200
18/102 [====>.........................] - ETA: 0s - loss: 0.4920 - acc: 0.7444
37/102 [=========>....................] - ETA: 0s - loss: 0.4854 - acc: 0.7481
53/102 [==============>...............] - ETA: 0s - loss: 0.4779 - acc: 0.7502
69/102 [===================>..........] - ETA: 0s - loss: 0.4877 - acc: 0.7501
87/102 [========================>.....] - ETA: 0s - loss: 0.4912 - acc: 0.7515
102/102 [==============================] - 0s 3ms/step - loss: 0.4901 - acc: 0.7512
102/102 [==============================] - 1s 5ms/step - loss: 0.4901 - acc: 0.7512 - val_loss: 0.5098 - val_acc: 0.7478
Epoch 29/30
1/102 [..............................] - ETA: 0s - loss: 0.5847 - acc: 0.7600
19/102 [====>.........................] - ETA: 0s - loss: 0.4751 - acc: 0.7579
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50/102 [=============>................] - ETA: 0s - loss: 0.4792 - acc: 0.7620
68/102 [===================>..........] - ETA: 0s - loss: 0.4820 - acc: 0.7538
79/102 [======================>.......] - ETA: 0s - loss: 0.4802 - acc: 0.7527
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102/102 [==============================] - 0s 4ms/step - loss: 0.4852 - acc: 0.7556
102/102 [==============================] - 1s 6ms/step - loss: 0.4852 - acc: 0.7556 - val_loss: 0.5007 - val_acc: 0.7513
Epoch 30/30
1/102 [..............................] - ETA: 0s - loss: 0.4192 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.4921 - acc: 0.7556
38/102 [==========>...................] - ETA: 0s - loss: 0.4780 - acc: 0.7616
54/102 [==============>...............] - ETA: 0s - loss: 0.4737 - acc: 0.7656
72/102 [====================>.........] - ETA: 0s - loss: 0.4806 - acc: 0.7644
90/102 [=========================>....] - ETA: 0s - loss: 0.4742 - acc: 0.7680
102/102 [==============================] - 0s 3ms/step - loss: 0.4862 - acc: 0.7621
102/102 [==============================] - 1s 5ms/step - loss: 0.4862 - acc: 0.7621 - val_loss: 0.5093 - val_acc: 0.7460
Run completed: runs/2024-05-06T19-34-22Z
Training run 3/52 (flags = list(32, 64, 0.001, 20, 30, "relu", "sigmoid", 0.5, 0.5))
Using run directory runs/2024-05-06T19-34-41Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 4:56 - loss: 0.7307 - acc: 0.3500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
16/254 [>.............................] - ETA: 0s - loss: 0.8165 - acc: 0.4281
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198/254 [======================>.......] - ETA: 0s - loss: 0.6772 - acc: 0.5904
216/254 [========================>.....] - ETA: 0s - loss: 0.6648 - acc: 0.6021
234/254 [==========================>...] - ETA: 0s - loss: 0.6574 - acc: 0.6111
253/254 [============================>.] - ETA: 0s - loss: 0.6506 - acc: 0.6188
254/254 [==============================] - 2s 3ms/step - loss: 0.6505 - acc: 0.6192
254/254 [==============================] - 3s 6ms/step - loss: 0.6505 - acc: 0.6192 - val_loss: 0.5049 - val_acc: 0.7602
Epoch 2/30
1/254 [..............................] - ETA: 0s - loss: 0.3107 - acc: 0.8500
11/254 [>.............................] - ETA: 1s - loss: 0.5687 - acc: 0.7091
29/254 [==>...........................] - ETA: 0s - loss: 0.5857 - acc: 0.6655
47/254 [====>.........................] - ETA: 0s - loss: 0.5662 - acc: 0.6968
58/254 [=====>........................] - ETA: 0s - loss: 0.5612 - acc: 0.7069
75/254 [=======>......................] - ETA: 0s - loss: 0.5506 - acc: 0.7200
93/254 [=========>....................] - ETA: 0s - loss: 0.5643 - acc: 0.7220
110/254 [===========>..................] - ETA: 0s - loss: 0.5693 - acc: 0.7136
128/254 [==============>...............] - ETA: 0s - loss: 0.5687 - acc: 0.7168
145/254 [================>.............] - ETA: 0s - loss: 0.5656 - acc: 0.7131
157/254 [=================>............] - ETA: 0s - loss: 0.5730 - acc: 0.7080
174/254 [===================>..........] - ETA: 0s - loss: 0.5688 - acc: 0.7124
192/254 [=====================>........] - ETA: 0s - loss: 0.5663 - acc: 0.7130
209/254 [=======================>......] - ETA: 0s - loss: 0.5646 - acc: 0.7165
228/254 [=========================>....] - ETA: 0s - loss: 0.5553 - acc: 0.7213
244/254 [===========================>..] - ETA: 0s - loss: 0.5560 - acc: 0.7221
254/254 [==============================] - 1s 4ms/step - loss: 0.5523 - acc: 0.7246
254/254 [==============================] - 1s 5ms/step - loss: 0.5523 - acc: 0.7246 - val_loss: 0.4861 - val_acc: 0.7691
Epoch 3/30
1/254 [..............................] - ETA: 0s - loss: 0.6341 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4748 - acc: 0.7472
38/254 [===>..........................] - ETA: 0s - loss: 0.5177 - acc: 0.7434
57/254 [=====>........................] - ETA: 0s - loss: 0.5313 - acc: 0.7342
61/254 [======>.......................] - ETA: 0s - loss: 0.5340 - acc: 0.7336
79/254 [========>.....................] - ETA: 0s - loss: 0.5443 - acc: 0.7228
95/254 [==========>...................] - ETA: 0s - loss: 0.5318 - acc: 0.7337
109/254 [===========>..................] - ETA: 0s - loss: 0.5276 - acc: 0.7362
115/254 [============>.................] - ETA: 0s - loss: 0.5276 - acc: 0.7365
132/254 [==============>...............] - ETA: 0s - loss: 0.5267 - acc: 0.7398
151/254 [================>.............] - ETA: 0s - loss: 0.5345 - acc: 0.7358
169/254 [==================>...........] - ETA: 0s - loss: 0.5374 - acc: 0.7322
187/254 [=====================>........] - ETA: 0s - loss: 0.5362 - acc: 0.7326
206/254 [=======================>......] - ETA: 0s - loss: 0.5350 - acc: 0.7318
225/254 [=========================>....] - ETA: 0s - loss: 0.5359 - acc: 0.7331
244/254 [===========================>..] - ETA: 0s - loss: 0.5365 - acc: 0.7338
254/254 [==============================] - 1s 3ms/step - loss: 0.5359 - acc: 0.7349
254/254 [==============================] - 1s 4ms/step - loss: 0.5359 - acc: 0.7349 - val_loss: 0.5016 - val_acc: 0.7496
Epoch 4/30
1/254 [..............................] - ETA: 0s - loss: 0.7011 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.5194 - acc: 0.7447
37/254 [===>..........................] - ETA: 0s - loss: 0.5547 - acc: 0.7176
46/254 [====>.........................] - ETA: 0s - loss: 0.5481 - acc: 0.7239
60/254 [======>.......................] - ETA: 0s - loss: 0.5489 - acc: 0.7267
71/254 [=======>......................] - ETA: 0s - loss: 0.5483 - acc: 0.7289
89/254 [=========>....................] - ETA: 0s - loss: 0.5412 - acc: 0.7303
106/254 [===========>..................] - ETA: 0s - loss: 0.5329 - acc: 0.7330
124/254 [=============>................] - ETA: 0s - loss: 0.5271 - acc: 0.7323
143/254 [===============>..............] - ETA: 0s - loss: 0.5225 - acc: 0.7367
162/254 [==================>...........] - ETA: 0s - loss: 0.5220 - acc: 0.7336
180/254 [====================>.........] - ETA: 0s - loss: 0.5201 - acc: 0.7356
198/254 [======================>.......] - ETA: 0s - loss: 0.5168 - acc: 0.7386
216/254 [========================>.....] - ETA: 0s - loss: 0.5159 - acc: 0.7412
235/254 [==========================>...] - ETA: 0s - loss: 0.5151 - acc: 0.7434
253/254 [============================>.] - ETA: 0s - loss: 0.5135 - acc: 0.7443
254/254 [==============================] - 1s 3ms/step - loss: 0.5137 - acc: 0.7443
254/254 [==============================] - 1s 4ms/step - loss: 0.5137 - acc: 0.7443 - val_loss: 0.4942 - val_acc: 0.7567
Epoch 5/30
1/254 [..............................] - ETA: 0s - loss: 0.3441 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5123 - acc: 0.7667
37/254 [===>..........................] - ETA: 0s - loss: 0.5153 - acc: 0.7473
53/254 [=====>........................] - ETA: 0s - loss: 0.5154 - acc: 0.7491
65/254 [======>.......................] - ETA: 0s - loss: 0.5090 - acc: 0.7454
81/254 [========>.....................] - ETA: 0s - loss: 0.5097 - acc: 0.7537
96/254 [==========>...................] - ETA: 0s - loss: 0.5073 - acc: 0.7505
112/254 [============>.................] - ETA: 0s - loss: 0.5106 - acc: 0.7487
128/254 [==============>...............] - ETA: 0s - loss: 0.5203 - acc: 0.7434
145/254 [================>.............] - ETA: 0s - loss: 0.5166 - acc: 0.7417
164/254 [==================>...........] - ETA: 0s - loss: 0.5123 - acc: 0.7470
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209/254 [=======================>......] - ETA: 0s - loss: 0.5083 - acc: 0.7471
227/254 [=========================>....] - ETA: 0s - loss: 0.5099 - acc: 0.7469
246/254 [============================>.] - ETA: 0s - loss: 0.5115 - acc: 0.7470
254/254 [==============================] - 1s 3ms/step - loss: 0.5125 - acc: 0.7463
254/254 [==============================] - 1s 4ms/step - loss: 0.5125 - acc: 0.7463 - val_loss: 0.5125 - val_acc: 0.7442
Epoch 6/30
1/254 [..............................] - ETA: 0s - loss: 0.5026 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.5136 - acc: 0.7474
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55/254 [=====>........................] - ETA: 0s - loss: 0.5038 - acc: 0.7464
73/254 [=======>......................] - ETA: 0s - loss: 0.5005 - acc: 0.7548
91/254 [=========>....................] - ETA: 0s - loss: 0.4994 - acc: 0.7549
108/254 [===========>..................] - ETA: 0s - loss: 0.4941 - acc: 0.7569
124/254 [=============>................] - ETA: 0s - loss: 0.4983 - acc: 0.7528
143/254 [===============>..............] - ETA: 0s - loss: 0.5032 - acc: 0.7521
160/254 [=================>............] - ETA: 0s - loss: 0.5017 - acc: 0.7522
179/254 [====================>.........] - ETA: 0s - loss: 0.5053 - acc: 0.7494
184/254 [====================>.........] - ETA: 0s - loss: 0.5069 - acc: 0.7476
192/254 [=====================>........] - ETA: 0s - loss: 0.5015 - acc: 0.7500
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219/254 [========================>.....] - ETA: 0s - loss: 0.5051 - acc: 0.7484
238/254 [===========================>..] - ETA: 0s - loss: 0.5024 - acc: 0.7498
254/254 [==============================] - 1s 4ms/step - loss: 0.5038 - acc: 0.7495
254/254 [==============================] - 1s 4ms/step - loss: 0.5038 - acc: 0.7495 - val_loss: 0.4665 - val_acc: 0.7726
Epoch 7/30
1/254 [..............................] - ETA: 1s - loss: 0.5795 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.5199 - acc: 0.7528
28/254 [==>...........................] - ETA: 0s - loss: 0.4988 - acc: 0.7625
39/254 [===>..........................] - ETA: 0s - loss: 0.4918 - acc: 0.7641
57/254 [=====>........................] - ETA: 0s - loss: 0.5095 - acc: 0.7439
76/254 [=======>......................] - ETA: 0s - loss: 0.5029 - acc: 0.7428
94/254 [==========>...................] - ETA: 0s - loss: 0.5123 - acc: 0.7447
111/254 [============>.................] - ETA: 0s - loss: 0.5154 - acc: 0.7414
130/254 [==============>...............] - ETA: 0s - loss: 0.5155 - acc: 0.7369
148/254 [================>.............] - ETA: 0s - loss: 0.5186 - acc: 0.7351
166/254 [==================>...........] - ETA: 0s - loss: 0.5145 - acc: 0.7392
185/254 [====================>.........] - ETA: 0s - loss: 0.5118 - acc: 0.7408
203/254 [======================>.......] - ETA: 0s - loss: 0.5126 - acc: 0.7414
220/254 [========================>.....] - ETA: 0s - loss: 0.5119 - acc: 0.7409
237/254 [==========================>...] - ETA: 0s - loss: 0.5094 - acc: 0.7411
254/254 [==============================] - 1s 3ms/step - loss: 0.5072 - acc: 0.7424
254/254 [==============================] - 1s 4ms/step - loss: 0.5072 - acc: 0.7424 - val_loss: 0.4756 - val_acc: 0.7655
Epoch 8/30
1/254 [..............................] - ETA: 1s - loss: 0.6689 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.5140 - acc: 0.7529
33/254 [==>...........................] - ETA: 0s - loss: 0.5160 - acc: 0.7682
48/254 [====>.........................] - ETA: 0s - loss: 0.5021 - acc: 0.7635
53/254 [=====>........................] - ETA: 0s - loss: 0.5030 - acc: 0.7670
71/254 [=======>......................] - ETA: 0s - loss: 0.5062 - acc: 0.7528
87/254 [=========>....................] - ETA: 0s - loss: 0.5195 - acc: 0.7483
104/254 [===========>..................] - ETA: 0s - loss: 0.5202 - acc: 0.7466
121/254 [=============>................] - ETA: 0s - loss: 0.5222 - acc: 0.7397
140/254 [===============>..............] - ETA: 0s - loss: 0.5199 - acc: 0.7432
158/254 [=================>............] - ETA: 0s - loss: 0.5175 - acc: 0.7405
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215/254 [========================>.....] - ETA: 0s - loss: 0.5107 - acc: 0.7444
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252/254 [============================>.] - ETA: 0s - loss: 0.5045 - acc: 0.7466
254/254 [==============================] - 1s 3ms/step - loss: 0.5047 - acc: 0.7473
254/254 [==============================] - 1s 4ms/step - loss: 0.5047 - acc: 0.7473 - val_loss: 0.4826 - val_acc: 0.7638
Epoch 9/30
1/254 [..............................] - ETA: 0s - loss: 0.5668 - acc: 0.6500
14/254 [>.............................] - ETA: 1s - loss: 0.5566 - acc: 0.7071
33/254 [==>...........................] - ETA: 0s - loss: 0.5346 - acc: 0.7121
51/254 [=====>........................] - ETA: 0s - loss: 0.5071 - acc: 0.7333
69/254 [=======>......................] - ETA: 0s - loss: 0.5045 - acc: 0.7399
88/254 [=========>....................] - ETA: 0s - loss: 0.5003 - acc: 0.7472
105/254 [===========>..................] - ETA: 0s - loss: 0.4977 - acc: 0.7433
123/254 [=============>................] - ETA: 0s - loss: 0.5007 - acc: 0.7455
142/254 [===============>..............] - ETA: 0s - loss: 0.5022 - acc: 0.7461
160/254 [=================>............] - ETA: 0s - loss: 0.5025 - acc: 0.7434
179/254 [====================>.........] - ETA: 0s - loss: 0.5030 - acc: 0.7450
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215/254 [========================>.....] - ETA: 0s - loss: 0.5016 - acc: 0.7456
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251/254 [============================>.] - ETA: 0s - loss: 0.5011 - acc: 0.7490
254/254 [==============================] - 1s 3ms/step - loss: 0.5019 - acc: 0.7493
254/254 [==============================] - 1s 4ms/step - loss: 0.5019 - acc: 0.7493 - val_loss: 0.4904 - val_acc: 0.7602
Epoch 10/30
1/254 [..............................] - ETA: 1s - loss: 0.3271 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4983 - acc: 0.7389
31/254 [==>...........................] - ETA: 0s - loss: 0.4972 - acc: 0.7661
38/254 [===>..........................] - ETA: 0s - loss: 0.4904 - acc: 0.7632
55/254 [=====>........................] - ETA: 0s - loss: 0.5111 - acc: 0.7518
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104/254 [===========>..................] - ETA: 0s - loss: 0.5166 - acc: 0.7452
122/254 [=============>................] - ETA: 0s - loss: 0.5114 - acc: 0.7422
141/254 [===============>..............] - ETA: 0s - loss: 0.5042 - acc: 0.7436
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254/254 [==============================] - 1s 4ms/step - loss: 0.5045 - acc: 0.7457
254/254 [==============================] - 1s 5ms/step - loss: 0.5045 - acc: 0.7457 - val_loss: 0.4855 - val_acc: 0.7638
Epoch 11/30
1/254 [..............................] - ETA: 0s - loss: 0.3815 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4885 - acc: 0.7500
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158/254 [=================>............] - ETA: 0s - loss: 0.5132 - acc: 0.7301
176/254 [===================>..........] - ETA: 0s - loss: 0.5086 - acc: 0.7364
193/254 [=====================>........] - ETA: 0s - loss: 0.5096 - acc: 0.7376
213/254 [========================>.....] - ETA: 0s - loss: 0.5051 - acc: 0.7413
231/254 [==========================>...] - ETA: 0s - loss: 0.5016 - acc: 0.7461
248/254 [============================>.] - ETA: 0s - loss: 0.5033 - acc: 0.7464
254/254 [==============================] - 1s 3ms/step - loss: 0.5021 - acc: 0.7471
254/254 [==============================] - 1s 4ms/step - loss: 0.5021 - acc: 0.7471 - val_loss: 0.5099 - val_acc: 0.7496
Epoch 12/30
1/254 [..............................] - ETA: 1s - loss: 0.4686 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5524 - acc: 0.7083
37/254 [===>..........................] - ETA: 0s - loss: 0.5573 - acc: 0.7176
56/254 [=====>........................] - ETA: 0s - loss: 0.5297 - acc: 0.7420
68/254 [=======>......................] - ETA: 0s - loss: 0.5229 - acc: 0.7441
86/254 [=========>....................] - ETA: 0s - loss: 0.5241 - acc: 0.7360
104/254 [===========>..................] - ETA: 0s - loss: 0.5115 - acc: 0.7356
122/254 [=============>................] - ETA: 0s - loss: 0.5092 - acc: 0.7361
140/254 [===============>..............] - ETA: 0s - loss: 0.5050 - acc: 0.7400
151/254 [================>.............] - ETA: 0s - loss: 0.5050 - acc: 0.7417
165/254 [==================>...........] - ETA: 0s - loss: 0.5024 - acc: 0.7427
182/254 [====================>.........] - ETA: 0s - loss: 0.5001 - acc: 0.7459
200/254 [======================>.......] - ETA: 0s - loss: 0.5019 - acc: 0.7423
219/254 [========================>.....] - ETA: 0s - loss: 0.5024 - acc: 0.7429
237/254 [==========================>...] - ETA: 0s - loss: 0.5029 - acc: 0.7451
254/254 [==============================] - 1s 3ms/step - loss: 0.5029 - acc: 0.7439
254/254 [==============================] - 1s 4ms/step - loss: 0.5029 - acc: 0.7439 - val_loss: 0.4787 - val_acc: 0.7584
Epoch 13/30
1/254 [..............................] - ETA: 0s - loss: 0.5647 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.5036 - acc: 0.7111
37/254 [===>..........................] - ETA: 0s - loss: 0.5240 - acc: 0.7162
54/254 [=====>........................] - ETA: 0s - loss: 0.5103 - acc: 0.7315
72/254 [=======>......................] - ETA: 0s - loss: 0.5017 - acc: 0.7319
91/254 [=========>....................] - ETA: 0s - loss: 0.4921 - acc: 0.7418
109/254 [===========>..................] - ETA: 0s - loss: 0.5039 - acc: 0.7427
128/254 [==============>...............] - ETA: 0s - loss: 0.5012 - acc: 0.7445
146/254 [================>.............] - ETA: 0s - loss: 0.5053 - acc: 0.7414
163/254 [==================>...........] - ETA: 0s - loss: 0.5050 - acc: 0.7402
182/254 [====================>.........] - ETA: 0s - loss: 0.4979 - acc: 0.7459
200/254 [======================>.......] - ETA: 0s - loss: 0.4944 - acc: 0.7465
219/254 [========================>.....] - ETA: 0s - loss: 0.4990 - acc: 0.7495
237/254 [==========================>...] - ETA: 0s - loss: 0.4995 - acc: 0.7485
254/254 [==============================] - 1s 3ms/step - loss: 0.4989 - acc: 0.7493
254/254 [==============================] - 1s 4ms/step - loss: 0.4989 - acc: 0.7493 - val_loss: 0.4742 - val_acc: 0.7655
Epoch 14/30
1/254 [..............................] - ETA: 0s - loss: 0.2960 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.5158 - acc: 0.7389
37/254 [===>..........................] - ETA: 0s - loss: 0.4898 - acc: 0.7608
54/254 [=====>........................] - ETA: 0s - loss: 0.4787 - acc: 0.7685
67/254 [======>.......................] - ETA: 0s - loss: 0.4880 - acc: 0.7627
80/254 [========>.....................] - ETA: 0s - loss: 0.4886 - acc: 0.7606
90/254 [=========>....................] - ETA: 0s - loss: 0.4899 - acc: 0.7578
110/254 [===========>..................] - ETA: 0s - loss: 0.4977 - acc: 0.7523
126/254 [=============>................] - ETA: 0s - loss: 0.4907 - acc: 0.7524
139/254 [===============>..............] - ETA: 0s - loss: 0.4917 - acc: 0.7536
157/254 [=================>............] - ETA: 0s - loss: 0.4956 - acc: 0.7541
175/254 [===================>..........] - ETA: 0s - loss: 0.4937 - acc: 0.7557
195/254 [======================>.......] - ETA: 0s - loss: 0.4938 - acc: 0.7564
213/254 [========================>.....] - ETA: 0s - loss: 0.4951 - acc: 0.7533
228/254 [=========================>....] - ETA: 0s - loss: 0.5024 - acc: 0.7485
246/254 [============================>.] - ETA: 0s - loss: 0.5000 - acc: 0.7476
254/254 [==============================] - 1s 3ms/step - loss: 0.4978 - acc: 0.7493
254/254 [==============================] - 1s 4ms/step - loss: 0.4978 - acc: 0.7493 - val_loss: 0.4716 - val_acc: 0.7673
Epoch 15/30
1/254 [..............................] - ETA: 0s - loss: 0.6893 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5004 - acc: 0.7763
36/254 [===>..........................] - ETA: 0s - loss: 0.4971 - acc: 0.7556
55/254 [=====>........................] - ETA: 0s - loss: 0.5082 - acc: 0.7509
73/254 [=======>......................] - ETA: 0s - loss: 0.4900 - acc: 0.7623
92/254 [=========>....................] - ETA: 0s - loss: 0.4895 - acc: 0.7609
110/254 [===========>..................] - ETA: 0s - loss: 0.4874 - acc: 0.7600
129/254 [==============>...............] - ETA: 0s - loss: 0.4943 - acc: 0.7554
148/254 [================>.............] - ETA: 0s - loss: 0.4956 - acc: 0.7530
165/254 [==================>...........] - ETA: 0s - loss: 0.4940 - acc: 0.7548
184/254 [====================>.........] - ETA: 0s - loss: 0.4947 - acc: 0.7554
203/254 [======================>.......] - ETA: 0s - loss: 0.4965 - acc: 0.7522
222/254 [=========================>....] - ETA: 0s - loss: 0.4955 - acc: 0.7532
232/254 [==========================>...] - ETA: 0s - loss: 0.4934 - acc: 0.7543
249/254 [============================>.] - ETA: 0s - loss: 0.4926 - acc: 0.7540
254/254 [==============================] - 1s 3ms/step - loss: 0.4924 - acc: 0.7542
254/254 [==============================] - 1s 4ms/step - loss: 0.4924 - acc: 0.7542 - val_loss: 0.4890 - val_acc: 0.7496
Epoch 16/30
1/254 [..............................] - ETA: 1s - loss: 0.8265 - acc: 0.5000
19/254 [=>............................] - ETA: 0s - loss: 0.4961 - acc: 0.7342
38/254 [===>..........................] - ETA: 0s - loss: 0.5361 - acc: 0.7118
55/254 [=====>........................] - ETA: 0s - loss: 0.5166 - acc: 0.7155
73/254 [=======>......................] - ETA: 0s - loss: 0.5120 - acc: 0.7212
92/254 [=========>....................] - ETA: 0s - loss: 0.5068 - acc: 0.7288
111/254 [============>.................] - ETA: 0s - loss: 0.4976 - acc: 0.7365
131/254 [==============>...............] - ETA: 0s - loss: 0.4993 - acc: 0.7363
149/254 [================>.............] - ETA: 0s - loss: 0.5074 - acc: 0.7336
167/254 [==================>...........] - ETA: 0s - loss: 0.5004 - acc: 0.7392
186/254 [====================>.........] - ETA: 0s - loss: 0.4947 - acc: 0.7387
204/254 [=======================>......] - ETA: 0s - loss: 0.5007 - acc: 0.7368
222/254 [=========================>....] - ETA: 0s - loss: 0.4983 - acc: 0.7399
241/254 [===========================>..] - ETA: 0s - loss: 0.4972 - acc: 0.7409
247/254 [============================>.] - ETA: 0s - loss: 0.4967 - acc: 0.7421
254/254 [==============================] - 1s 3ms/step - loss: 0.4936 - acc: 0.7437
254/254 [==============================] - 1s 4ms/step - loss: 0.4936 - acc: 0.7437 - val_loss: 0.4740 - val_acc: 0.7620
Run completed: runs/2024-05-06T19-34-41Z
Training run 4/52 (flags = list(64, 16, 0.001, 50, 50, "relu", "sigmoid", 0.5, 0.2))
Using run directory runs/2024-05-06T19-35-00Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/102 [..............................] - ETA: 2:23 - loss: 0.5790 - acc: 0.7400
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0678s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0678s). Check your callbacks.
19/102 [====>.........................] - ETA: 0s - loss: 0.7135 - acc: 0.6800
36/102 [=========>....................] - ETA: 0s - loss: 0.7012 - acc: 0.6467
52/102 [==============>...............] - ETA: 0s - loss: 0.6811 - acc: 0.6388
68/102 [===================>..........] - ETA: 0s - loss: 0.6684 - acc: 0.6435
85/102 [========================>.....] - ETA: 0s - loss: 0.6495 - acc: 0.6562
102/102 [==============================] - 2s 3ms/step - loss: 0.6339 - acc: 0.6682
102/102 [==============================] - 3s 12ms/step - loss: 0.6339 - acc: 0.6682 - val_loss: 0.5138 - val_acc: 0.7691
Epoch 2/50
1/102 [..............................] - ETA: 0s - loss: 0.5888 - acc: 0.7600
13/102 [==>...........................] - ETA: 0s - loss: 0.5511 - acc: 0.7431
30/102 [=======>......................] - ETA: 0s - loss: 0.5378 - acc: 0.7380
42/102 [===========>..................] - ETA: 0s - loss: 0.5373 - acc: 0.7348
55/102 [===============>..............] - ETA: 0s - loss: 0.5369 - acc: 0.7356
65/102 [==================>...........] - ETA: 0s - loss: 0.5336 - acc: 0.7345
83/102 [=======================>......] - ETA: 0s - loss: 0.5262 - acc: 0.7369
96/102 [===========================>..] - ETA: 0s - loss: 0.5280 - acc: 0.7396
102/102 [==============================] - 0s 4ms/step - loss: 0.5301 - acc: 0.7372
102/102 [==============================] - 1s 6ms/step - loss: 0.5301 - acc: 0.7372 - val_loss: 0.4929 - val_acc: 0.7673
Epoch 3/50
1/102 [..............................] - ETA: 0s - loss: 0.5630 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.5098 - acc: 0.7494
35/102 [=========>....................] - ETA: 0s - loss: 0.5211 - acc: 0.7434
52/102 [==============>...............] - ETA: 0s - loss: 0.5141 - acc: 0.7450
69/102 [===================>..........] - ETA: 0s - loss: 0.5176 - acc: 0.7426
87/102 [========================>.....] - ETA: 0s - loss: 0.5186 - acc: 0.7428
102/102 [==============================] - 0s 3ms/step - loss: 0.5144 - acc: 0.7435
102/102 [==============================] - 1s 6ms/step - loss: 0.5144 - acc: 0.7435 - val_loss: 0.4835 - val_acc: 0.7655
Epoch 4/50
1/102 [..............................] - ETA: 0s - loss: 0.6220 - acc: 0.8000
15/102 [===>..........................] - ETA: 0s - loss: 0.5133 - acc: 0.7693
31/102 [========>.....................] - ETA: 0s - loss: 0.5277 - acc: 0.7555
40/102 [==========>...................] - ETA: 0s - loss: 0.5224 - acc: 0.7530
48/102 [=============>................] - ETA: 0s - loss: 0.5242 - acc: 0.7504
65/102 [==================>...........] - ETA: 0s - loss: 0.5213 - acc: 0.7465
81/102 [======================>.......] - ETA: 0s - loss: 0.5180 - acc: 0.7425
94/102 [==========================>...] - ETA: 0s - loss: 0.5149 - acc: 0.7438
102/102 [==============================] - 0s 4ms/step - loss: 0.5108 - acc: 0.7453
102/102 [==============================] - 1s 7ms/step - loss: 0.5108 - acc: 0.7453 - val_loss: 0.4638 - val_acc: 0.7709
Epoch 5/50
1/102 [..............................] - ETA: 0s - loss: 0.5320 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.5099 - acc: 0.7533
35/102 [=========>....................] - ETA: 0s - loss: 0.5050 - acc: 0.7549
53/102 [==============>...............] - ETA: 0s - loss: 0.5037 - acc: 0.7551
69/102 [===================>..........] - ETA: 0s - loss: 0.5103 - acc: 0.7496
87/102 [========================>.....] - ETA: 0s - loss: 0.5040 - acc: 0.7478
102/102 [==============================] - 0s 3ms/step - loss: 0.5024 - acc: 0.7479
102/102 [==============================] - 1s 5ms/step - loss: 0.5024 - acc: 0.7479 - val_loss: 0.4607 - val_acc: 0.7726
Epoch 6/50
1/102 [..............................] - ETA: 0s - loss: 0.5587 - acc: 0.7400
15/102 [===>..........................] - ETA: 0s - loss: 0.5422 - acc: 0.7360
30/102 [=======>......................] - ETA: 0s - loss: 0.5251 - acc: 0.7467
46/102 [============>.................] - ETA: 0s - loss: 0.5279 - acc: 0.7365
54/102 [==============>...............] - ETA: 0s - loss: 0.5192 - acc: 0.7381
69/102 [===================>..........] - ETA: 0s - loss: 0.5084 - acc: 0.7397
85/102 [========================>.....] - ETA: 0s - loss: 0.5045 - acc: 0.7426
98/102 [===========================>..] - ETA: 0s - loss: 0.5060 - acc: 0.7457
102/102 [==============================] - 0s 4ms/step - loss: 0.5040 - acc: 0.7473
102/102 [==============================] - 1s 6ms/step - loss: 0.5040 - acc: 0.7473 - val_loss: 0.4818 - val_acc: 0.7638
Epoch 7/50
1/102 [..............................] - ETA: 0s - loss: 0.4991 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.5174 - acc: 0.7500
37/102 [=========>....................] - ETA: 0s - loss: 0.5085 - acc: 0.7535
54/102 [==============>...............] - ETA: 0s - loss: 0.5071 - acc: 0.7548
71/102 [===================>..........] - ETA: 0s - loss: 0.5008 - acc: 0.7546
89/102 [=========================>....] - ETA: 0s - loss: 0.5019 - acc: 0.7528
96/102 [===========================>..] - ETA: 0s - loss: 0.4965 - acc: 0.7546
102/102 [==============================] - 0s 3ms/step - loss: 0.4973 - acc: 0.7540
102/102 [==============================] - 1s 6ms/step - loss: 0.4973 - acc: 0.7540 - val_loss: 0.4899 - val_acc: 0.7513
Epoch 8/50
1/102 [..............................] - ETA: 0s - loss: 0.5394 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.5097 - acc: 0.7389
35/102 [=========>....................] - ETA: 0s - loss: 0.5017 - acc: 0.7429
53/102 [==============>...............] - ETA: 0s - loss: 0.4990 - acc: 0.7442
71/102 [===================>..........] - ETA: 0s - loss: 0.4917 - acc: 0.7493
89/102 [=========================>....] - ETA: 0s - loss: 0.4982 - acc: 0.7445
102/102 [==============================] - 0s 3ms/step - loss: 0.4973 - acc: 0.7449
102/102 [==============================] - 1s 5ms/step - loss: 0.4973 - acc: 0.7449 - val_loss: 0.4919 - val_acc: 0.7478
Epoch 9/50
1/102 [..............................] - ETA: 0s - loss: 0.4919 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.5252 - acc: 0.7506
35/102 [=========>....................] - ETA: 0s - loss: 0.5203 - acc: 0.7326
44/102 [===========>..................] - ETA: 0s - loss: 0.5158 - acc: 0.7368
58/102 [================>.............] - ETA: 0s - loss: 0.5065 - acc: 0.7479
67/102 [==================>...........] - ETA: 0s - loss: 0.4963 - acc: 0.7493
79/102 [======================>.......] - ETA: 0s - loss: 0.4972 - acc: 0.7514
84/102 [=======================>......] - ETA: 0s - loss: 0.4949 - acc: 0.7498
100/102 [============================>.] - ETA: 0s - loss: 0.4948 - acc: 0.7544
102/102 [==============================] - 0s 5ms/step - loss: 0.4946 - acc: 0.7540
102/102 [==============================] - 1s 8ms/step - loss: 0.4946 - acc: 0.7540 - val_loss: 0.4943 - val_acc: 0.7496
Epoch 10/50
1/102 [..............................] - ETA: 0s - loss: 0.4555 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.5054 - acc: 0.7294
33/102 [========>.....................] - ETA: 0s - loss: 0.5028 - acc: 0.7370
49/102 [=============>................] - ETA: 0s - loss: 0.5016 - acc: 0.7437
65/102 [==================>...........] - ETA: 0s - loss: 0.4935 - acc: 0.7483
82/102 [=======================>......] - ETA: 0s - loss: 0.4915 - acc: 0.7483
98/102 [===========================>..] - ETA: 0s - loss: 0.4957 - acc: 0.7494
102/102 [==============================] - 0s 3ms/step - loss: 0.4942 - acc: 0.7514
102/102 [==============================] - 1s 7ms/step - loss: 0.4942 - acc: 0.7514 - val_loss: 0.4918 - val_acc: 0.7496
Epoch 11/50
1/102 [..............................] - ETA: 0s - loss: 0.3508 - acc: 0.9400
17/102 [====>.........................] - ETA: 0s - loss: 0.5030 - acc: 0.7329
35/102 [=========>....................] - ETA: 0s - loss: 0.4859 - acc: 0.7480
54/102 [==============>...............] - ETA: 0s - loss: 0.4850 - acc: 0.7544
71/102 [===================>..........] - ETA: 0s - loss: 0.4859 - acc: 0.7538
89/102 [=========================>....] - ETA: 0s - loss: 0.4863 - acc: 0.7499
102/102 [==============================] - 0s 3ms/step - loss: 0.4913 - acc: 0.7497
102/102 [==============================] - 1s 5ms/step - loss: 0.4913 - acc: 0.7497 - val_loss: 0.4848 - val_acc: 0.7567
Epoch 12/50
1/102 [..............................] - ETA: 0s - loss: 0.4797 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.5243 - acc: 0.7282
34/102 [=========>....................] - ETA: 0s - loss: 0.5049 - acc: 0.7400
50/102 [=============>................] - ETA: 0s - loss: 0.4945 - acc: 0.7504
57/102 [===============>..............] - ETA: 0s - loss: 0.4954 - acc: 0.7453
62/102 [=================>............] - ETA: 0s - loss: 0.4912 - acc: 0.7497
77/102 [=====================>........] - ETA: 0s - loss: 0.4871 - acc: 0.7483
86/102 [========================>.....] - ETA: 0s - loss: 0.4877 - acc: 0.7512
102/102 [==============================] - 0s 4ms/step - loss: 0.4868 - acc: 0.7518
102/102 [==============================] - 1s 7ms/step - loss: 0.4868 - acc: 0.7518 - val_loss: 0.4886 - val_acc: 0.7531
Epoch 13/50
1/102 [..............................] - ETA: 0s - loss: 0.5809 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5067 - acc: 0.7256
36/102 [=========>....................] - ETA: 0s - loss: 0.4884 - acc: 0.7444
54/102 [==============>...............] - ETA: 0s - loss: 0.4904 - acc: 0.7396
71/102 [===================>..........] - ETA: 0s - loss: 0.4903 - acc: 0.7425
90/102 [=========================>....] - ETA: 0s - loss: 0.4882 - acc: 0.7462
102/102 [==============================] - 0s 3ms/step - loss: 0.4874 - acc: 0.7467
102/102 [==============================] - 1s 5ms/step - loss: 0.4874 - acc: 0.7467 - val_loss: 0.4880 - val_acc: 0.7478
Epoch 14/50
1/102 [..............................] - ETA: 1s - loss: 0.4191 - acc: 0.8000
12/102 [==>...........................] - ETA: 0s - loss: 0.4856 - acc: 0.7783
22/102 [=====>........................] - ETA: 0s - loss: 0.4848 - acc: 0.7745
37/102 [=========>....................] - ETA: 0s - loss: 0.4952 - acc: 0.7600
49/102 [=============>................] - ETA: 0s - loss: 0.4861 - acc: 0.7596
67/102 [==================>...........] - ETA: 0s - loss: 0.4934 - acc: 0.7525
84/102 [=======================>......] - ETA: 0s - loss: 0.4847 - acc: 0.7562
101/102 [============================>.] - ETA: 0s - loss: 0.4861 - acc: 0.7547
102/102 [==============================] - 0s 4ms/step - loss: 0.4864 - acc: 0.7550
102/102 [==============================] - 1s 6ms/step - loss: 0.4864 - acc: 0.7550 - val_loss: 0.4838 - val_acc: 0.7513
Epoch 15/50
1/102 [..............................] - ETA: 0s - loss: 0.6883 - acc: 0.6200
18/102 [====>.........................] - ETA: 0s - loss: 0.5151 - acc: 0.7378
36/102 [=========>....................] - ETA: 0s - loss: 0.5075 - acc: 0.7383
53/102 [==============>...............] - ETA: 0s - loss: 0.4969 - acc: 0.7453
71/102 [===================>..........] - ETA: 0s - loss: 0.4881 - acc: 0.7527
89/102 [=========================>....] - ETA: 0s - loss: 0.4955 - acc: 0.7524
102/102 [==============================] - 0s 3ms/step - loss: 0.4924 - acc: 0.7508
102/102 [==============================] - 1s 6ms/step - loss: 0.4924 - acc: 0.7508 - val_loss: 0.4878 - val_acc: 0.7513
Run completed: runs/2024-05-06T19-35-00Z
Training run 5/52 (flags = list(64, 16, 0.01, 50, 30, "relu", "sigmoid", 0.2, 0.5))
Using run directory runs/2024-05-06T19-35-12Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:02 - loss: 0.8643 - acc: 0.2600
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0044s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0044s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
14/102 [===>..........................] - ETA: 0s - loss: 0.7732 - acc: 0.3814
32/102 [========>.....................] - ETA: 0s - loss: 0.7336 - acc: 0.4481
46/102 [============>.................] - ETA: 0s - loss: 0.7087 - acc: 0.4909
63/102 [=================>............] - ETA: 0s - loss: 0.6840 - acc: 0.5200
81/102 [======================>.......] - ETA: 0s - loss: 0.6699 - acc: 0.5506
98/102 [===========================>..] - ETA: 0s - loss: 0.6545 - acc: 0.5710
102/102 [==============================] - 2s 4ms/step - loss: 0.6527 - acc: 0.5732
102/102 [==============================] - 2s 12ms/step - loss: 0.6527 - acc: 0.5732 - val_loss: 0.5376 - val_acc: 0.7496
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.4701 - acc: 0.7200
13/102 [==>...........................] - ETA: 0s - loss: 0.5573 - acc: 0.7077
30/102 [=======>......................] - ETA: 0s - loss: 0.5613 - acc: 0.7000
44/102 [===========>..................] - ETA: 0s - loss: 0.5643 - acc: 0.6959
50/102 [=============>................] - ETA: 0s - loss: 0.5620 - acc: 0.6988
66/102 [==================>...........] - ETA: 0s - loss: 0.5587 - acc: 0.7000
78/102 [=====================>........] - ETA: 0s - loss: 0.5555 - acc: 0.7018
96/102 [===========================>..] - ETA: 0s - loss: 0.5528 - acc: 0.7085
102/102 [==============================] - 0s 4ms/step - loss: 0.5505 - acc: 0.7077
102/102 [==============================] - 1s 6ms/step - loss: 0.5505 - acc: 0.7077 - val_loss: 0.5115 - val_acc: 0.7638
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.5754 - acc: 0.7200
15/102 [===>..........................] - ETA: 0s - loss: 0.5383 - acc: 0.7080
31/102 [========>.....................] - ETA: 0s - loss: 0.5399 - acc: 0.7090
49/102 [=============>................] - ETA: 0s - loss: 0.5371 - acc: 0.7184
67/102 [==================>...........] - ETA: 0s - loss: 0.5280 - acc: 0.7266
83/102 [=======================>......] - ETA: 0s - loss: 0.5267 - acc: 0.7292
101/102 [============================>.] - ETA: 0s - loss: 0.5267 - acc: 0.7313
102/102 [==============================] - 0s 3ms/step - loss: 0.5262 - acc: 0.7317
102/102 [==============================] - 1s 6ms/step - loss: 0.5262 - acc: 0.7317 - val_loss: 0.4984 - val_acc: 0.7673
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.4735 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.5282 - acc: 0.7459
36/102 [=========>....................] - ETA: 0s - loss: 0.5201 - acc: 0.7494
45/102 [============>.................] - ETA: 0s - loss: 0.5228 - acc: 0.7480
53/102 [==============>...............] - ETA: 0s - loss: 0.5200 - acc: 0.7506
71/102 [===================>..........] - ETA: 0s - loss: 0.5230 - acc: 0.7490
81/102 [======================>.......] - ETA: 0s - loss: 0.5218 - acc: 0.7472
98/102 [===========================>..] - ETA: 0s - loss: 0.5193 - acc: 0.7484
102/102 [==============================] - 0s 4ms/step - loss: 0.5194 - acc: 0.7477
102/102 [==============================] - 1s 6ms/step - loss: 0.5194 - acc: 0.7477 - val_loss: 0.4994 - val_acc: 0.7638
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.5993 - acc: 0.6600
17/102 [====>.........................] - ETA: 0s - loss: 0.5381 - acc: 0.7271
36/102 [=========>....................] - ETA: 0s - loss: 0.5334 - acc: 0.7300
54/102 [==============>...............] - ETA: 0s - loss: 0.5297 - acc: 0.7389
71/102 [===================>..........] - ETA: 0s - loss: 0.5216 - acc: 0.7456
89/102 [=========================>....] - ETA: 0s - loss: 0.5188 - acc: 0.7443
102/102 [==============================] - 0s 3ms/step - loss: 0.5171 - acc: 0.7469
102/102 [==============================] - 1s 5ms/step - loss: 0.5171 - acc: 0.7469 - val_loss: 0.4937 - val_acc: 0.7673
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.5021 - acc: 0.8200
13/102 [==>...........................] - ETA: 0s - loss: 0.4778 - acc: 0.7631
23/102 [=====>........................] - ETA: 0s - loss: 0.5039 - acc: 0.7522
37/102 [=========>....................] - ETA: 0s - loss: 0.5020 - acc: 0.7530
51/102 [==============>...............] - ETA: 0s - loss: 0.5094 - acc: 0.7463
67/102 [==================>...........] - ETA: 0s - loss: 0.5043 - acc: 0.7549
85/102 [========================>.....] - ETA: 0s - loss: 0.5063 - acc: 0.7527
101/102 [============================>.] - ETA: 0s - loss: 0.5100 - acc: 0.7527
102/102 [==============================] - 0s 4ms/step - loss: 0.5099 - acc: 0.7526
102/102 [==============================] - 1s 6ms/step - loss: 0.5099 - acc: 0.7526 - val_loss: 0.4928 - val_acc: 0.7620
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.4190 - acc: 0.8400
18/102 [====>.........................] - ETA: 0s - loss: 0.4885 - acc: 0.7556
37/102 [=========>....................] - ETA: 0s - loss: 0.4824 - acc: 0.7686
54/102 [==============>...............] - ETA: 0s - loss: 0.4999 - acc: 0.7600
66/102 [==================>...........] - ETA: 0s - loss: 0.5033 - acc: 0.7600
84/102 [=======================>......] - ETA: 0s - loss: 0.5027 - acc: 0.7581
97/102 [===========================>..] - ETA: 0s - loss: 0.4986 - acc: 0.7575
102/102 [==============================] - 0s 4ms/step - loss: 0.5002 - acc: 0.7568
102/102 [==============================] - 1s 7ms/step - loss: 0.5002 - acc: 0.7568 - val_loss: 0.4816 - val_acc: 0.7709
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.4404 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.5225 - acc: 0.7529
35/102 [=========>....................] - ETA: 0s - loss: 0.5135 - acc: 0.7577
53/102 [==============>...............] - ETA: 0s - loss: 0.5085 - acc: 0.7543
69/102 [===================>..........] - ETA: 0s - loss: 0.5080 - acc: 0.7484
87/102 [========================>.....] - ETA: 0s - loss: 0.5052 - acc: 0.7529
102/102 [==============================] - 0s 3ms/step - loss: 0.5036 - acc: 0.7542
102/102 [==============================] - 1s 5ms/step - loss: 0.5036 - acc: 0.7542 - val_loss: 0.4771 - val_acc: 0.7709
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.5473 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.5022 - acc: 0.7656
29/102 [=======>......................] - ETA: 0s - loss: 0.4790 - acc: 0.7807
39/102 [==========>...................] - ETA: 0s - loss: 0.4888 - acc: 0.7713
53/102 [==============>...............] - ETA: 0s - loss: 0.4870 - acc: 0.7694
71/102 [===================>..........] - ETA: 0s - loss: 0.4985 - acc: 0.7634
89/102 [=========================>....] - ETA: 0s - loss: 0.4989 - acc: 0.7600
102/102 [==============================] - 0s 3ms/step - loss: 0.5014 - acc: 0.7599
102/102 [==============================] - 1s 6ms/step - loss: 0.5014 - acc: 0.7599 - val_loss: 0.4840 - val_acc: 0.7655
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.5902 - acc: 0.6200
17/102 [====>.........................] - ETA: 0s - loss: 0.5119 - acc: 0.7435
35/102 [=========>....................] - ETA: 0s - loss: 0.4952 - acc: 0.7503
53/102 [==============>...............] - ETA: 0s - loss: 0.5051 - acc: 0.7513
71/102 [===================>..........] - ETA: 0s - loss: 0.5018 - acc: 0.7530
88/102 [========================>.....] - ETA: 0s - loss: 0.5041 - acc: 0.7550
102/102 [==============================] - 0s 3ms/step - loss: 0.5026 - acc: 0.7558
102/102 [==============================] - 1s 5ms/step - loss: 0.5026 - acc: 0.7558 - val_loss: 0.4906 - val_acc: 0.7691
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.5071 - acc: 0.6800
9/102 [=>............................] - ETA: 0s - loss: 0.4864 - acc: 0.7622
25/102 [======>.......................] - ETA: 0s - loss: 0.4994 - acc: 0.7664
36/102 [=========>....................] - ETA: 0s - loss: 0.5065 - acc: 0.7583
45/102 [============>.................] - ETA: 0s - loss: 0.5097 - acc: 0.7556
62/102 [=================>............] - ETA: 0s - loss: 0.5060 - acc: 0.7555
80/102 [======================>.......] - ETA: 0s - loss: 0.5026 - acc: 0.7552
97/102 [===========================>..] - ETA: 0s - loss: 0.4990 - acc: 0.7553
102/102 [==============================] - 0s 4ms/step - loss: 0.4977 - acc: 0.7564
102/102 [==============================] - 1s 7ms/step - loss: 0.4977 - acc: 0.7564 - val_loss: 0.4733 - val_acc: 0.7744
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.4394 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.4817 - acc: 0.7776
34/102 [=========>....................] - ETA: 0s - loss: 0.4796 - acc: 0.7718
52/102 [==============>...............] - ETA: 0s - loss: 0.4918 - acc: 0.7688
69/102 [===================>..........] - ETA: 0s - loss: 0.4944 - acc: 0.7716
77/102 [=====================>........] - ETA: 0s - loss: 0.4961 - acc: 0.7701
94/102 [==========================>...] - ETA: 0s - loss: 0.5001 - acc: 0.7628
102/102 [==============================] - 0s 3ms/step - loss: 0.5003 - acc: 0.7607
102/102 [==============================] - 1s 6ms/step - loss: 0.5003 - acc: 0.7607 - val_loss: 0.4731 - val_acc: 0.7798
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.5228 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.4967 - acc: 0.7894
35/102 [=========>....................] - ETA: 0s - loss: 0.5078 - acc: 0.7651
52/102 [==============>...............] - ETA: 0s - loss: 0.5010 - acc: 0.7658
69/102 [===================>..........] - ETA: 0s - loss: 0.5007 - acc: 0.7664
87/102 [========================>.....] - ETA: 0s - loss: 0.5013 - acc: 0.7637
102/102 [==============================] - 0s 3ms/step - loss: 0.5035 - acc: 0.7625
102/102 [==============================] - 1s 5ms/step - loss: 0.5035 - acc: 0.7625 - val_loss: 0.4805 - val_acc: 0.7744
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.5735 - acc: 0.6800
16/102 [===>..........................] - ETA: 0s - loss: 0.4776 - acc: 0.7650
25/102 [======>.......................] - ETA: 0s - loss: 0.4741 - acc: 0.7704
35/102 [=========>....................] - ETA: 0s - loss: 0.4763 - acc: 0.7771
53/102 [==============>...............] - ETA: 0s - loss: 0.4888 - acc: 0.7721
70/102 [===================>..........] - ETA: 0s - loss: 0.4894 - acc: 0.7697
82/102 [=======================>......] - ETA: 0s - loss: 0.4946 - acc: 0.7693
100/102 [============================>.] - ETA: 0s - loss: 0.5002 - acc: 0.7648
102/102 [==============================] - 0s 4ms/step - loss: 0.4993 - acc: 0.7642
102/102 [==============================] - 1s 7ms/step - loss: 0.4993 - acc: 0.7642 - val_loss: 0.4947 - val_acc: 0.7584
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.5152 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.4834 - acc: 0.7565
32/102 [========>.....................] - ETA: 0s - loss: 0.4831 - acc: 0.7644
49/102 [=============>................] - ETA: 0s - loss: 0.4970 - acc: 0.7641
64/102 [=================>............] - ETA: 0s - loss: 0.4928 - acc: 0.7697
82/102 [=======================>......] - ETA: 0s - loss: 0.4921 - acc: 0.7668
99/102 [============================>.] - ETA: 0s - loss: 0.4922 - acc: 0.7667
102/102 [==============================] - 0s 3ms/step - loss: 0.4936 - acc: 0.7662
102/102 [==============================] - 1s 6ms/step - loss: 0.4936 - acc: 0.7662 - val_loss: 0.4709 - val_acc: 0.7780
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.4484 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.4646 - acc: 0.7887
34/102 [=========>....................] - ETA: 0s - loss: 0.4920 - acc: 0.7700
50/102 [=============>................] - ETA: 0s - loss: 0.4852 - acc: 0.7780
68/102 [===================>..........] - ETA: 0s - loss: 0.4856 - acc: 0.7697
86/102 [========================>.....] - ETA: 0s - loss: 0.4898 - acc: 0.7702
102/102 [==============================] - 0s 3ms/step - loss: 0.4938 - acc: 0.7684
102/102 [==============================] - 1s 5ms/step - loss: 0.4938 - acc: 0.7684 - val_loss: 0.5026 - val_acc: 0.7584
Epoch 17/30
1/102 [..............................] - ETA: 0s - loss: 0.3815 - acc: 0.8800
18/102 [====>.........................] - ETA: 0s - loss: 0.5093 - acc: 0.7500
36/102 [=========>....................] - ETA: 0s - loss: 0.5029 - acc: 0.7489
53/102 [==============>...............] - ETA: 0s - loss: 0.4943 - acc: 0.7532
63/102 [=================>............] - ETA: 0s - loss: 0.4927 - acc: 0.7581
80/102 [======================>.......] - ETA: 0s - loss: 0.4920 - acc: 0.7617
94/102 [==========================>...] - ETA: 0s - loss: 0.4901 - acc: 0.7630
102/102 [==============================] - 0s 4ms/step - loss: 0.4919 - acc: 0.7625
102/102 [==============================] - 1s 6ms/step - loss: 0.4919 - acc: 0.7625 - val_loss: 0.4781 - val_acc: 0.7620
Epoch 18/30
1/102 [..............................] - ETA: 0s - loss: 0.5520 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5078 - acc: 0.7822
37/102 [=========>....................] - ETA: 0s - loss: 0.5131 - acc: 0.7557
54/102 [==============>...............] - ETA: 0s - loss: 0.5107 - acc: 0.7489
71/102 [===================>..........] - ETA: 0s - loss: 0.5001 - acc: 0.7510
88/102 [========================>.....] - ETA: 0s - loss: 0.4956 - acc: 0.7620
102/102 [==============================] - 0s 3ms/step - loss: 0.4934 - acc: 0.7644
102/102 [==============================] - 1s 5ms/step - loss: 0.4934 - acc: 0.7644 - val_loss: 0.4677 - val_acc: 0.7691
Epoch 19/30
1/102 [..............................] - ETA: 1s - loss: 0.6508 - acc: 0.6200
15/102 [===>..........................] - ETA: 0s - loss: 0.4938 - acc: 0.7613
27/102 [======>.......................] - ETA: 0s - loss: 0.4924 - acc: 0.7696
43/102 [===========>..................] - ETA: 0s - loss: 0.4888 - acc: 0.7749
59/102 [================>.............] - ETA: 0s - loss: 0.4832 - acc: 0.7783
75/102 [=====================>........] - ETA: 0s - loss: 0.4879 - acc: 0.7755
93/102 [==========================>...] - ETA: 0s - loss: 0.4846 - acc: 0.7759
102/102 [==============================] - 0s 3ms/step - loss: 0.4906 - acc: 0.7709
102/102 [==============================] - 1s 6ms/step - loss: 0.4906 - acc: 0.7709 - val_loss: 0.4789 - val_acc: 0.7655
Epoch 20/30
1/102 [..............................] - ETA: 0s - loss: 0.6009 - acc: 0.6200
17/102 [====>.........................] - ETA: 0s - loss: 0.4920 - acc: 0.7765
35/102 [=========>....................] - ETA: 0s - loss: 0.5003 - acc: 0.7600
52/102 [==============>...............] - ETA: 0s - loss: 0.5027 - acc: 0.7619
68/102 [===================>..........] - ETA: 0s - loss: 0.4948 - acc: 0.7594
86/102 [========================>.....] - ETA: 0s - loss: 0.4927 - acc: 0.7640
102/102 [==============================] - 0s 3ms/step - loss: 0.4876 - acc: 0.7690
102/102 [==============================] - 1s 6ms/step - loss: 0.4876 - acc: 0.7690 - val_loss: 0.4971 - val_acc: 0.7602
Epoch 21/30
1/102 [..............................] - ETA: 0s - loss: 0.4640 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.4869 - acc: 0.7694
34/102 [=========>....................] - ETA: 0s - loss: 0.5021 - acc: 0.7647
52/102 [==============>...............] - ETA: 0s - loss: 0.4990 - acc: 0.7619
66/102 [==================>...........] - ETA: 0s - loss: 0.4925 - acc: 0.7658
80/102 [======================>.......] - ETA: 0s - loss: 0.4898 - acc: 0.7690
89/102 [=========================>....] - ETA: 0s - loss: 0.4922 - acc: 0.7697
102/102 [==============================] - 0s 4ms/step - loss: 0.4921 - acc: 0.7684
102/102 [==============================] - 1s 7ms/step - loss: 0.4921 - acc: 0.7684 - val_loss: 0.4775 - val_acc: 0.7709
Epoch 22/30
1/102 [..............................] - ETA: 0s - loss: 0.4320 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.5140 - acc: 0.7588
29/102 [=======>......................] - ETA: 0s - loss: 0.4922 - acc: 0.7662
41/102 [===========>..................] - ETA: 0s - loss: 0.4860 - acc: 0.7698
52/102 [==============>...............] - ETA: 0s - loss: 0.4846 - acc: 0.7708
70/102 [===================>..........] - ETA: 0s - loss: 0.4836 - acc: 0.7689
87/102 [========================>.....] - ETA: 0s - loss: 0.4842 - acc: 0.7699
102/102 [==============================] - 0s 4ms/step - loss: 0.4923 - acc: 0.7694
102/102 [==============================] - 1s 6ms/step - loss: 0.4923 - acc: 0.7694 - val_loss: 0.4855 - val_acc: 0.7620
Epoch 23/30
1/102 [..............................] - ETA: 0s - loss: 0.6020 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.5269 - acc: 0.7511
36/102 [=========>....................] - ETA: 0s - loss: 0.5130 - acc: 0.7433
53/102 [==============>...............] - ETA: 0s - loss: 0.5014 - acc: 0.7540
70/102 [===================>..........] - ETA: 0s - loss: 0.4922 - acc: 0.7594
88/102 [========================>.....] - ETA: 0s - loss: 0.4898 - acc: 0.7632
102/102 [==============================] - 0s 3ms/step - loss: 0.4940 - acc: 0.7621
102/102 [==============================] - 1s 5ms/step - loss: 0.4940 - acc: 0.7621 - val_loss: 0.4797 - val_acc: 0.7673
Epoch 24/30
1/102 [..............................] - ETA: 0s - loss: 0.4168 - acc: 0.8200
13/102 [==>...........................] - ETA: 0s - loss: 0.5223 - acc: 0.7385
27/102 [======>.......................] - ETA: 0s - loss: 0.5016 - acc: 0.7356
35/102 [=========>....................] - ETA: 0s - loss: 0.4941 - acc: 0.7434
52/102 [==============>...............] - ETA: 0s - loss: 0.4867 - acc: 0.7546
67/102 [==================>...........] - ETA: 0s - loss: 0.4805 - acc: 0.7615
84/102 [=======================>......] - ETA: 0s - loss: 0.4781 - acc: 0.7674
99/102 [============================>.] - ETA: 0s - loss: 0.4854 - acc: 0.7687
102/102 [==============================] - 0s 4ms/step - loss: 0.4858 - acc: 0.7686
102/102 [==============================] - 1s 6ms/step - loss: 0.4858 - acc: 0.7686 - val_loss: 0.4930 - val_acc: 0.7567
Epoch 25/30
1/102 [..............................] - ETA: 0s - loss: 0.4729 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.4755 - acc: 0.7811
35/102 [=========>....................] - ETA: 0s - loss: 0.4709 - acc: 0.7794
50/102 [=============>................] - ETA: 0s - loss: 0.4861 - acc: 0.7644
68/102 [===================>..........] - ETA: 0s - loss: 0.4814 - acc: 0.7662
85/102 [========================>.....] - ETA: 0s - loss: 0.4797 - acc: 0.7633
97/102 [===========================>..] - ETA: 0s - loss: 0.4832 - acc: 0.7612
102/102 [==============================] - 0s 3ms/step - loss: 0.4848 - acc: 0.7627
102/102 [==============================] - 1s 6ms/step - loss: 0.4848 - acc: 0.7627 - val_loss: 0.4749 - val_acc: 0.7726
Epoch 26/30
1/102 [..............................] - ETA: 0s - loss: 0.3724 - acc: 0.8400
18/102 [====>.........................] - ETA: 0s - loss: 0.4933 - acc: 0.7744
36/102 [=========>....................] - ETA: 0s - loss: 0.4877 - acc: 0.7728
54/102 [==============>...............] - ETA: 0s - loss: 0.4981 - acc: 0.7641
72/102 [====================>.........] - ETA: 0s - loss: 0.4870 - acc: 0.7719
90/102 [=========================>....] - ETA: 0s - loss: 0.4907 - acc: 0.7662
102/102 [==============================] - 0s 3ms/step - loss: 0.4899 - acc: 0.7690
102/102 [==============================] - 1s 5ms/step - loss: 0.4899 - acc: 0.7690 - val_loss: 0.4777 - val_acc: 0.7709
Epoch 27/30
1/102 [..............................] - ETA: 0s - loss: 0.5306 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5134 - acc: 0.7478
35/102 [=========>....................] - ETA: 0s - loss: 0.5050 - acc: 0.7566
44/102 [===========>..................] - ETA: 0s - loss: 0.5008 - acc: 0.7632
53/102 [==============>...............] - ETA: 0s - loss: 0.4937 - acc: 0.7668
71/102 [===================>..........] - ETA: 0s - loss: 0.4931 - acc: 0.7631
86/102 [========================>.....] - ETA: 0s - loss: 0.4889 - acc: 0.7679
102/102 [==============================] - 0s 4ms/step - loss: 0.4895 - acc: 0.7709
102/102 [==============================] - 1s 6ms/step - loss: 0.4895 - acc: 0.7709 - val_loss: 0.4888 - val_acc: 0.7584
Epoch 28/30
1/102 [..............................] - ETA: 0s - loss: 0.6270 - acc: 0.6200
18/102 [====>.........................] - ETA: 0s - loss: 0.4760 - acc: 0.7644
36/102 [=========>....................] - ETA: 0s - loss: 0.4981 - acc: 0.7561
54/102 [==============>...............] - ETA: 0s - loss: 0.4924 - acc: 0.7578
71/102 [===================>..........] - ETA: 0s - loss: 0.4922 - acc: 0.7637
88/102 [========================>.....] - ETA: 0s - loss: 0.4905 - acc: 0.7680
102/102 [==============================] - 0s 3ms/step - loss: 0.4864 - acc: 0.7670
102/102 [==============================] - 1s 6ms/step - loss: 0.4864 - acc: 0.7670 - val_loss: 0.4956 - val_acc: 0.7620
Run completed: runs/2024-05-06T19-35-12Z
Training run 6/52 (flags = list(64, 16, 0.01, 20, 50, "relu", "tanh", 0.2, 0.2))
Using run directory runs/2024-05-06T19-35-31Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:10 - loss: 0.9417 - acc: 0.2500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0298s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0298s). Check your callbacks.
14/254 [>.............................] - ETA: 0s - loss: 0.6994 - acc: 0.5321
33/254 [==>...........................] - ETA: 0s - loss: 0.6692 - acc: 0.6258
47/254 [====>.........................] - ETA: 0s - loss: 0.6375 - acc: 0.6319
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235/254 [==========================>...] - ETA: 0s - loss: 0.5382 - acc: 0.7236
254/254 [==============================] - 2s 3ms/step - loss: 0.5377 - acc: 0.7240
254/254 [==============================] - 3s 6ms/step - loss: 0.5377 - acc: 0.7240 - val_loss: 0.4897 - val_acc: 0.7531
Epoch 2/50
1/254 [..............................] - ETA: 0s - loss: 0.7334 - acc: 0.4500
18/254 [=>............................] - ETA: 0s - loss: 0.5255 - acc: 0.7556
36/254 [===>..........................] - ETA: 0s - loss: 0.5319 - acc: 0.7528
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63/254 [======>.......................] - ETA: 0s - loss: 0.5219 - acc: 0.7429
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109/254 [===========>..................] - ETA: 0s - loss: 0.5111 - acc: 0.7486
124/254 [=============>................] - ETA: 0s - loss: 0.5006 - acc: 0.7512
138/254 [===============>..............] - ETA: 0s - loss: 0.5005 - acc: 0.7540
155/254 [=================>............] - ETA: 0s - loss: 0.4982 - acc: 0.7568
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183/254 [====================>.........] - ETA: 0s - loss: 0.4951 - acc: 0.7587
197/254 [======================>.......] - ETA: 0s - loss: 0.4923 - acc: 0.7586
215/254 [========================>.....] - ETA: 0s - loss: 0.4950 - acc: 0.7549
231/254 [==========================>...] - ETA: 0s - loss: 0.4945 - acc: 0.7543
249/254 [============================>.] - ETA: 0s - loss: 0.4962 - acc: 0.7544
254/254 [==============================] - 1s 3ms/step - loss: 0.4964 - acc: 0.7540
254/254 [==============================] - 1s 4ms/step - loss: 0.4964 - acc: 0.7540 - val_loss: 0.5017 - val_acc: 0.7425
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.2980 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4506 - acc: 0.7553
38/254 [===>..........................] - ETA: 0s - loss: 0.4775 - acc: 0.7605
57/254 [=====>........................] - ETA: 0s - loss: 0.4963 - acc: 0.7588
74/254 [=======>......................] - ETA: 0s - loss: 0.5101 - acc: 0.7378
93/254 [=========>....................] - ETA: 0s - loss: 0.5085 - acc: 0.7398
110/254 [===========>..................] - ETA: 0s - loss: 0.4982 - acc: 0.7436
118/254 [============>.................] - ETA: 0s - loss: 0.4983 - acc: 0.7436
138/254 [===============>..............] - ETA: 0s - loss: 0.4899 - acc: 0.7486
157/254 [=================>............] - ETA: 0s - loss: 0.4991 - acc: 0.7436
176/254 [===================>..........] - ETA: 0s - loss: 0.4985 - acc: 0.7409
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246/254 [============================>.] - ETA: 0s - loss: 0.4935 - acc: 0.7474
254/254 [==============================] - 1s 3ms/step - loss: 0.4913 - acc: 0.7499
254/254 [==============================] - 1s 5ms/step - loss: 0.4913 - acc: 0.7499 - val_loss: 0.4911 - val_acc: 0.7531
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.4332 - acc: 0.8000
11/254 [>.............................] - ETA: 1s - loss: 0.5364 - acc: 0.7500
31/254 [==>...........................] - ETA: 0s - loss: 0.4918 - acc: 0.7532
50/254 [====>.........................] - ETA: 0s - loss: 0.4802 - acc: 0.7530
58/254 [=====>........................] - ETA: 0s - loss: 0.4879 - acc: 0.7414
73/254 [=======>......................] - ETA: 0s - loss: 0.4904 - acc: 0.7473
93/254 [=========>....................] - ETA: 0s - loss: 0.4827 - acc: 0.7500
105/254 [===========>..................] - ETA: 0s - loss: 0.4768 - acc: 0.7533
124/254 [=============>................] - ETA: 0s - loss: 0.4754 - acc: 0.7536
141/254 [===============>..............] - ETA: 0s - loss: 0.4777 - acc: 0.7539
159/254 [=================>............] - ETA: 0s - loss: 0.4737 - acc: 0.7579
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191/254 [=====================>........] - ETA: 0s - loss: 0.4809 - acc: 0.7547
210/254 [=======================>......] - ETA: 0s - loss: 0.4850 - acc: 0.7526
228/254 [=========================>....] - ETA: 0s - loss: 0.4865 - acc: 0.7504
247/254 [============================>.] - ETA: 0s - loss: 0.4876 - acc: 0.7488
254/254 [==============================] - 1s 3ms/step - loss: 0.4863 - acc: 0.7489
254/254 [==============================] - 1s 4ms/step - loss: 0.4863 - acc: 0.7489 - val_loss: 0.4921 - val_acc: 0.7496
Epoch 5/50
1/254 [..............................] - ETA: 1s - loss: 0.4072 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5656 - acc: 0.7211
36/254 [===>..........................] - ETA: 0s - loss: 0.5230 - acc: 0.7403
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71/254 [=======>......................] - ETA: 0s - loss: 0.5064 - acc: 0.7493
90/254 [=========>....................] - ETA: 0s - loss: 0.4996 - acc: 0.7517
105/254 [===========>..................] - ETA: 0s - loss: 0.4935 - acc: 0.7557
121/254 [=============>................] - ETA: 0s - loss: 0.4922 - acc: 0.7541
139/254 [===============>..............] - ETA: 0s - loss: 0.4903 - acc: 0.7550
157/254 [=================>............] - ETA: 0s - loss: 0.4894 - acc: 0.7561
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248/254 [============================>.] - ETA: 0s - loss: 0.4841 - acc: 0.7569
254/254 [==============================] - 1s 3ms/step - loss: 0.4842 - acc: 0.7575
254/254 [==============================] - 1s 4ms/step - loss: 0.4842 - acc: 0.7575 - val_loss: 0.4785 - val_acc: 0.7567
Epoch 6/50
1/254 [..............................] - ETA: 1s - loss: 0.5973 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5079 - acc: 0.7389
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118/254 [============>.................] - ETA: 0s - loss: 0.4834 - acc: 0.7547
136/254 [===============>..............] - ETA: 0s - loss: 0.4868 - acc: 0.7537
154/254 [=================>............] - ETA: 0s - loss: 0.4837 - acc: 0.7506
171/254 [===================>..........] - ETA: 0s - loss: 0.4855 - acc: 0.7529
188/254 [=====================>........] - ETA: 0s - loss: 0.4849 - acc: 0.7513
207/254 [=======================>......] - ETA: 0s - loss: 0.4863 - acc: 0.7514
226/254 [=========================>....] - ETA: 0s - loss: 0.4826 - acc: 0.7487
245/254 [===========================>..] - ETA: 0s - loss: 0.4815 - acc: 0.7492
254/254 [==============================] - 1s 3ms/step - loss: 0.4802 - acc: 0.7524
254/254 [==============================] - 1s 4ms/step - loss: 0.4802 - acc: 0.7524 - val_loss: 0.4735 - val_acc: 0.7726
Epoch 7/50
1/254 [..............................] - ETA: 1s - loss: 0.4078 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4545 - acc: 0.7789
35/254 [===>..........................] - ETA: 0s - loss: 0.4834 - acc: 0.7714
44/254 [====>.........................] - ETA: 0s - loss: 0.4968 - acc: 0.7602
58/254 [=====>........................] - ETA: 0s - loss: 0.5053 - acc: 0.7500
70/254 [=======>......................] - ETA: 0s - loss: 0.4984 - acc: 0.7579
88/254 [=========>....................] - ETA: 0s - loss: 0.4782 - acc: 0.7653
107/254 [===========>..................] - ETA: 0s - loss: 0.4866 - acc: 0.7598
125/254 [=============>................] - ETA: 0s - loss: 0.4852 - acc: 0.7616
143/254 [===============>..............] - ETA: 0s - loss: 0.4890 - acc: 0.7563
159/254 [=================>............] - ETA: 0s - loss: 0.4918 - acc: 0.7528
167/254 [==================>...........] - ETA: 0s - loss: 0.4875 - acc: 0.7545
187/254 [=====================>........] - ETA: 0s - loss: 0.4855 - acc: 0.7535
206/254 [=======================>......] - ETA: 0s - loss: 0.4844 - acc: 0.7539
220/254 [========================>.....] - ETA: 0s - loss: 0.4812 - acc: 0.7541
239/254 [===========================>..] - ETA: 0s - loss: 0.4818 - acc: 0.7536
254/254 [==============================] - 1s 4ms/step - loss: 0.4783 - acc: 0.7550
254/254 [==============================] - 1s 4ms/step - loss: 0.4783 - acc: 0.7550 - val_loss: 0.4764 - val_acc: 0.7655
Epoch 8/50
1/254 [..............................] - ETA: 2s - loss: 0.4141 - acc: 0.9000
7/254 [..............................] - ETA: 2s - loss: 0.4630 - acc: 0.8000
25/254 [=>............................] - ETA: 1s - loss: 0.4501 - acc: 0.7880
44/254 [====>.........................] - ETA: 0s - loss: 0.4715 - acc: 0.7761
56/254 [=====>........................] - ETA: 0s - loss: 0.4727 - acc: 0.7732
74/254 [=======>......................] - ETA: 0s - loss: 0.4755 - acc: 0.7608
93/254 [=========>....................] - ETA: 0s - loss: 0.4628 - acc: 0.7710
110/254 [===========>..................] - ETA: 0s - loss: 0.4679 - acc: 0.7727
128/254 [==============>...............] - ETA: 0s - loss: 0.4660 - acc: 0.7680
147/254 [================>.............] - ETA: 0s - loss: 0.4728 - acc: 0.7660
166/254 [==================>...........] - ETA: 0s - loss: 0.4709 - acc: 0.7636
185/254 [====================>.........] - ETA: 0s - loss: 0.4747 - acc: 0.7635
203/254 [======================>.......] - ETA: 0s - loss: 0.4716 - acc: 0.7623
222/254 [=========================>....] - ETA: 0s - loss: 0.4784 - acc: 0.7608
241/254 [===========================>..] - ETA: 0s - loss: 0.4737 - acc: 0.7604
254/254 [==============================] - 1s 3ms/step - loss: 0.4753 - acc: 0.7595
254/254 [==============================] - 1s 4ms/step - loss: 0.4753 - acc: 0.7595 - val_loss: 0.4958 - val_acc: 0.7531
Epoch 9/50
1/254 [..............................] - ETA: 4s - loss: 0.4405 - acc: 0.7500
16/254 [>.............................] - ETA: 0s - loss: 0.4276 - acc: 0.7500
26/254 [==>...........................] - ETA: 0s - loss: 0.4454 - acc: 0.7519
40/254 [===>..........................] - ETA: 0s - loss: 0.4682 - acc: 0.7600
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73/254 [=======>......................] - ETA: 0s - loss: 0.4802 - acc: 0.7548
90/254 [=========>....................] - ETA: 0s - loss: 0.4803 - acc: 0.7561
107/254 [===========>..................] - ETA: 0s - loss: 0.4742 - acc: 0.7537
127/254 [==============>...............] - ETA: 0s - loss: 0.4750 - acc: 0.7547
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184/254 [====================>.........] - ETA: 0s - loss: 0.4735 - acc: 0.7538
202/254 [======================>.......] - ETA: 0s - loss: 0.4735 - acc: 0.7552
222/254 [=========================>....] - ETA: 0s - loss: 0.4709 - acc: 0.7536
241/254 [===========================>..] - ETA: 0s - loss: 0.4725 - acc: 0.7544
254/254 [==============================] - 1s 3ms/step - loss: 0.4727 - acc: 0.7540
254/254 [==============================] - 1s 4ms/step - loss: 0.4727 - acc: 0.7540 - val_loss: 0.4767 - val_acc: 0.7655
Epoch 10/50
1/254 [..............................] - ETA: 3s - loss: 0.1915 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4617 - acc: 0.7395
28/254 [==>...........................] - ETA: 0s - loss: 0.4505 - acc: 0.7429
44/254 [====>.........................] - ETA: 0s - loss: 0.4876 - acc: 0.7420
58/254 [=====>........................] - ETA: 0s - loss: 0.4731 - acc: 0.7466
77/254 [========>.....................] - ETA: 0s - loss: 0.4654 - acc: 0.7500
93/254 [=========>....................] - ETA: 0s - loss: 0.4557 - acc: 0.7586
111/254 [============>.................] - ETA: 0s - loss: 0.4667 - acc: 0.7550
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167/254 [==================>...........] - ETA: 0s - loss: 0.4704 - acc: 0.7584
186/254 [====================>.........] - ETA: 0s - loss: 0.4745 - acc: 0.7578
205/254 [=======================>......] - ETA: 0s - loss: 0.4730 - acc: 0.7583
223/254 [=========================>....] - ETA: 0s - loss: 0.4670 - acc: 0.7612
241/254 [===========================>..] - ETA: 0s - loss: 0.4695 - acc: 0.7627
254/254 [==============================] - 1s 3ms/step - loss: 0.4701 - acc: 0.7605
254/254 [==============================] - 1s 4ms/step - loss: 0.4701 - acc: 0.7605 - val_loss: 0.5099 - val_acc: 0.7425
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.4190 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4629 - acc: 0.7526
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57/254 [=====>........................] - ETA: 0s - loss: 0.4625 - acc: 0.7570
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151/254 [================>.............] - ETA: 0s - loss: 0.4733 - acc: 0.7483
169/254 [==================>...........] - ETA: 0s - loss: 0.4675 - acc: 0.7527
188/254 [=====================>........] - ETA: 0s - loss: 0.4645 - acc: 0.7548
206/254 [=======================>......] - ETA: 0s - loss: 0.4596 - acc: 0.7585
224/254 [=========================>....] - ETA: 0s - loss: 0.4632 - acc: 0.7600
241/254 [===========================>..] - ETA: 0s - loss: 0.4653 - acc: 0.7604
254/254 [==============================] - 1s 3ms/step - loss: 0.4694 - acc: 0.7571
254/254 [==============================] - 1s 4ms/step - loss: 0.4694 - acc: 0.7571 - val_loss: 0.5021 - val_acc: 0.7371
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.6014 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4531 - acc: 0.7806
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148/254 [================>.............] - ETA: 0s - loss: 0.4580 - acc: 0.7696
166/254 [==================>...........] - ETA: 0s - loss: 0.4575 - acc: 0.7681
185/254 [====================>.........] - ETA: 0s - loss: 0.4604 - acc: 0.7676
204/254 [=======================>......] - ETA: 0s - loss: 0.4612 - acc: 0.7694
221/254 [=========================>....] - ETA: 0s - loss: 0.4634 - acc: 0.7681
241/254 [===========================>..] - ETA: 0s - loss: 0.4649 - acc: 0.7676
254/254 [==============================] - 1s 3ms/step - loss: 0.4660 - acc: 0.7678
254/254 [==============================] - 1s 4ms/step - loss: 0.4660 - acc: 0.7678 - val_loss: 0.5036 - val_acc: 0.7513
Epoch 13/50
1/254 [..............................] - ETA: 1s - loss: 0.4021 - acc: 0.7000
12/254 [>.............................] - ETA: 1s - loss: 0.4838 - acc: 0.7000
21/254 [=>............................] - ETA: 1s - loss: 0.4888 - acc: 0.7071
36/254 [===>..........................] - ETA: 0s - loss: 0.4957 - acc: 0.7208
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111/254 [============>.................] - ETA: 0s - loss: 0.4664 - acc: 0.7563
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149/254 [================>.............] - ETA: 0s - loss: 0.4526 - acc: 0.7658
166/254 [==================>...........] - ETA: 0s - loss: 0.4586 - acc: 0.7657
182/254 [====================>.........] - ETA: 0s - loss: 0.4575 - acc: 0.7648
200/254 [======================>.......] - ETA: 0s - loss: 0.4564 - acc: 0.7670
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237/254 [==========================>...] - ETA: 0s - loss: 0.4597 - acc: 0.7675
254/254 [==============================] - 1s 3ms/step - loss: 0.4623 - acc: 0.7635
254/254 [==============================] - 1s 4ms/step - loss: 0.4623 - acc: 0.7635 - val_loss: 0.5025 - val_acc: 0.7496
Epoch 14/50
1/254 [..............................] - ETA: 0s - loss: 0.4642 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.4506 - acc: 0.7722
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254/254 [==============================] - 1s 3ms/step - loss: 0.4605 - acc: 0.7625
254/254 [==============================] - 1s 4ms/step - loss: 0.4605 - acc: 0.7625 - val_loss: 0.4679 - val_acc: 0.7655
Epoch 15/50
1/254 [..............................] - ETA: 1s - loss: 0.3035 - acc: 0.7000
15/254 [>.............................] - ETA: 0s - loss: 0.5020 - acc: 0.8100
32/254 [==>...........................] - ETA: 0s - loss: 0.4707 - acc: 0.7984
50/254 [====>.........................] - ETA: 0s - loss: 0.4509 - acc: 0.7940
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103/254 [===========>..................] - ETA: 0s - loss: 0.4517 - acc: 0.7791
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249/254 [============================>.] - ETA: 0s - loss: 0.4595 - acc: 0.7707
254/254 [==============================] - 1s 3ms/step - loss: 0.4586 - acc: 0.7711
254/254 [==============================] - 1s 4ms/step - loss: 0.4586 - acc: 0.7711 - val_loss: 0.4901 - val_acc: 0.7638
Epoch 16/50
1/254 [..............................] - ETA: 1s - loss: 0.7422 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.4249 - acc: 0.7694
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254/254 [==============================] - 1s 3ms/step - loss: 0.4567 - acc: 0.7717
254/254 [==============================] - 1s 4ms/step - loss: 0.4567 - acc: 0.7717 - val_loss: 0.5126 - val_acc: 0.7531
Epoch 17/50
1/254 [..............................] - ETA: 0s - loss: 0.6290 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.4884 - acc: 0.7417
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110/254 [===========>..................] - ETA: 0s - loss: 0.4557 - acc: 0.7673
128/254 [==============>...............] - ETA: 0s - loss: 0.4534 - acc: 0.7707
147/254 [================>.............] - ETA: 0s - loss: 0.4473 - acc: 0.7752
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254/254 [==============================] - 1s 3ms/step - loss: 0.4562 - acc: 0.7733
254/254 [==============================] - 1s 4ms/step - loss: 0.4562 - acc: 0.7733 - val_loss: 0.5135 - val_acc: 0.7460
Epoch 18/50
1/254 [..............................] - ETA: 0s - loss: 0.3678 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4293 - acc: 0.7667
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184/254 [====================>.........] - ETA: 0s - loss: 0.4563 - acc: 0.7701
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252/254 [============================>.] - ETA: 0s - loss: 0.4529 - acc: 0.7730
254/254 [==============================] - 1s 3ms/step - loss: 0.4520 - acc: 0.7731
254/254 [==============================] - 1s 4ms/step - loss: 0.4520 - acc: 0.7731 - val_loss: 0.4829 - val_acc: 0.7673
Epoch 19/50
1/254 [..............................] - ETA: 1s - loss: 0.4693 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.5024 - acc: 0.7412
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253/254 [============================>.] - ETA: 0s - loss: 0.4579 - acc: 0.7615
254/254 [==============================] - 1s 3ms/step - loss: 0.4579 - acc: 0.7617
254/254 [==============================] - 1s 4ms/step - loss: 0.4579 - acc: 0.7617 - val_loss: 0.4904 - val_acc: 0.7691
Epoch 20/50
1/254 [..............................] - ETA: 0s - loss: 0.3970 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4804 - acc: 0.7750
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249/254 [============================>.] - ETA: 0s - loss: 0.4505 - acc: 0.7707
254/254 [==============================] - 1s 3ms/step - loss: 0.4504 - acc: 0.7709
254/254 [==============================] - 1s 4ms/step - loss: 0.4504 - acc: 0.7709 - val_loss: 0.4931 - val_acc: 0.7620
Epoch 21/50
1/254 [..............................] - ETA: 0s - loss: 0.4022 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4140 - acc: 0.7806
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248/254 [============================>.] - ETA: 0s - loss: 0.4440 - acc: 0.7712
254/254 [==============================] - 1s 3ms/step - loss: 0.4477 - acc: 0.7698
254/254 [==============================] - 1s 4ms/step - loss: 0.4477 - acc: 0.7698 - val_loss: 0.4957 - val_acc: 0.7567
Epoch 22/50
1/254 [..............................] - ETA: 0s - loss: 0.3522 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.4547 - acc: 0.7853
35/254 [===>..........................] - ETA: 0s - loss: 0.4637 - acc: 0.7800
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225/254 [=========================>....] - ETA: 0s - loss: 0.4436 - acc: 0.7798
243/254 [===========================>..] - ETA: 0s - loss: 0.4473 - acc: 0.7788
254/254 [==============================] - 1s 3ms/step - loss: 0.4466 - acc: 0.7771
254/254 [==============================] - 1s 4ms/step - loss: 0.4466 - acc: 0.7771 - val_loss: 0.5453 - val_acc: 0.7389
Epoch 23/50
1/254 [..............................] - ETA: 1s - loss: 0.3812 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4538 - acc: 0.7263
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92/254 [=========>....................] - ETA: 0s - loss: 0.4457 - acc: 0.7674
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129/254 [==============>...............] - ETA: 0s - loss: 0.4438 - acc: 0.7671
145/254 [================>.............] - ETA: 0s - loss: 0.4482 - acc: 0.7690
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247/254 [============================>.] - ETA: 0s - loss: 0.4468 - acc: 0.7761
254/254 [==============================] - 1s 3ms/step - loss: 0.4470 - acc: 0.7759
254/254 [==============================] - 1s 4ms/step - loss: 0.4470 - acc: 0.7759 - val_loss: 0.4973 - val_acc: 0.7638
Epoch 24/50
1/254 [..............................] - ETA: 0s - loss: 0.5075 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.4554 - acc: 0.7806
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248/254 [============================>.] - ETA: 0s - loss: 0.4403 - acc: 0.7792
254/254 [==============================] - 1s 4ms/step - loss: 0.4405 - acc: 0.7782
254/254 [==============================] - 1s 5ms/step - loss: 0.4405 - acc: 0.7782 - val_loss: 0.5049 - val_acc: 0.7620
Run completed: runs/2024-05-06T19-35-31Z
Training run 7/52 (flags = list(16, 64, 0.01, 20, 50, "tanh", "sigmoid", 0.5, 0.5))
Using run directory runs/2024-05-06T19-35-59Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:06 - loss: 0.7402 - acc: 0.6500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0297s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0297s). Check your callbacks.
20/254 [=>............................] - ETA: 0s - loss: 0.6963 - acc: 0.6025
38/254 [===>..........................] - ETA: 0s - loss: 0.7172 - acc: 0.5803
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243/254 [===========================>..] - ETA: 0s - loss: 0.6592 - acc: 0.6187
254/254 [==============================] - 2s 3ms/step - loss: 0.6552 - acc: 0.6219
254/254 [==============================] - 3s 6ms/step - loss: 0.6552 - acc: 0.6219 - val_loss: 0.5129 - val_acc: 0.7531
Epoch 2/50
1/254 [..............................] - ETA: 0s - loss: 0.7378 - acc: 0.7000
15/254 [>.............................] - ETA: 0s - loss: 0.5749 - acc: 0.7133
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48/254 [====>.........................] - ETA: 0s - loss: 0.5660 - acc: 0.7167
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105/254 [===========>..................] - ETA: 0s - loss: 0.5513 - acc: 0.7162
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135/254 [==============>...............] - ETA: 0s - loss: 0.5586 - acc: 0.7178
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182/254 [====================>.........] - ETA: 0s - loss: 0.5459 - acc: 0.7269
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246/254 [============================>.] - ETA: 0s - loss: 0.5407 - acc: 0.7285
254/254 [==============================] - 1s 3ms/step - loss: 0.5381 - acc: 0.7299
254/254 [==============================] - 1s 4ms/step - loss: 0.5381 - acc: 0.7299 - val_loss: 0.5031 - val_acc: 0.7638
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.4213 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5088 - acc: 0.7474
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249/254 [============================>.] - ETA: 0s - loss: 0.5327 - acc: 0.7394
254/254 [==============================] - 1s 4ms/step - loss: 0.5337 - acc: 0.7384
254/254 [==============================] - 1s 5ms/step - loss: 0.5337 - acc: 0.7384 - val_loss: 0.4952 - val_acc: 0.7638
Epoch 4/50
1/254 [..............................] - ETA: 1s - loss: 0.6187 - acc: 0.6500
16/254 [>.............................] - ETA: 0s - loss: 0.5758 - acc: 0.7094
34/254 [===>..........................] - ETA: 0s - loss: 0.5543 - acc: 0.7206
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74/254 [=======>......................] - ETA: 0s - loss: 0.5029 - acc: 0.7507
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110/254 [===========>..................] - ETA: 0s - loss: 0.5090 - acc: 0.7527
129/254 [==============>...............] - ETA: 0s - loss: 0.5116 - acc: 0.7500
148/254 [================>.............] - ETA: 0s - loss: 0.5221 - acc: 0.7422
163/254 [==================>...........] - ETA: 0s - loss: 0.5232 - acc: 0.7405
182/254 [====================>.........] - ETA: 0s - loss: 0.5248 - acc: 0.7415
200/254 [======================>.......] - ETA: 0s - loss: 0.5287 - acc: 0.7410
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253/254 [============================>.] - ETA: 0s - loss: 0.5239 - acc: 0.7423
254/254 [==============================] - 1s 3ms/step - loss: 0.5233 - acc: 0.7426
254/254 [==============================] - 1s 4ms/step - loss: 0.5233 - acc: 0.7426 - val_loss: 0.4811 - val_acc: 0.7655
Epoch 5/50
1/254 [..............................] - ETA: 0s - loss: 0.5184 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5612 - acc: 0.7421
31/254 [==>...........................] - ETA: 0s - loss: 0.5254 - acc: 0.7532
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121/254 [=============>................] - ETA: 0s - loss: 0.5065 - acc: 0.7475
138/254 [===============>..............] - ETA: 0s - loss: 0.5019 - acc: 0.7522
156/254 [=================>............] - ETA: 0s - loss: 0.5102 - acc: 0.7503
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250/254 [============================>.] - ETA: 0s - loss: 0.5146 - acc: 0.7446
254/254 [==============================] - 1s 3ms/step - loss: 0.5153 - acc: 0.7447
254/254 [==============================] - 1s 4ms/step - loss: 0.5153 - acc: 0.7447 - val_loss: 0.4799 - val_acc: 0.7620
Epoch 6/50
1/254 [..............................] - ETA: 1s - loss: 0.6772 - acc: 0.8000
14/254 [>.............................] - ETA: 0s - loss: 0.5019 - acc: 0.7429
25/254 [=>............................] - ETA: 0s - loss: 0.5011 - acc: 0.7340
39/254 [===>..........................] - ETA: 0s - loss: 0.5066 - acc: 0.7346
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60/254 [======>.......................] - ETA: 0s - loss: 0.5043 - acc: 0.7375
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114/254 [============>.................] - ETA: 0s - loss: 0.5047 - acc: 0.7496
130/254 [==============>...............] - ETA: 0s - loss: 0.5136 - acc: 0.7431
148/254 [================>.............] - ETA: 0s - loss: 0.5111 - acc: 0.7459
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253/254 [============================>.] - ETA: 0s - loss: 0.5146 - acc: 0.7453
254/254 [==============================] - 1s 3ms/step - loss: 0.5141 - acc: 0.7457
254/254 [==============================] - 1s 5ms/step - loss: 0.5141 - acc: 0.7457 - val_loss: 0.5018 - val_acc: 0.7549
Epoch 7/50
1/254 [..............................] - ETA: 1s - loss: 0.3695 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5478 - acc: 0.7667
37/254 [===>..........................] - ETA: 0s - loss: 0.5370 - acc: 0.7459
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72/254 [=======>......................] - ETA: 0s - loss: 0.5219 - acc: 0.7458
91/254 [=========>....................] - ETA: 0s - loss: 0.5120 - acc: 0.7516
109/254 [===========>..................] - ETA: 0s - loss: 0.5176 - acc: 0.7482
127/254 [==============>...............] - ETA: 0s - loss: 0.5151 - acc: 0.7504
146/254 [================>.............] - ETA: 0s - loss: 0.5104 - acc: 0.7545
163/254 [==================>...........] - ETA: 0s - loss: 0.5178 - acc: 0.7503
182/254 [====================>.........] - ETA: 0s - loss: 0.5163 - acc: 0.7508
200/254 [======================>.......] - ETA: 0s - loss: 0.5192 - acc: 0.7480
219/254 [========================>.....] - ETA: 0s - loss: 0.5169 - acc: 0.7461
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248/254 [============================>.] - ETA: 0s - loss: 0.5152 - acc: 0.7470
253/254 [============================>.] - ETA: 0s - loss: 0.5160 - acc: 0.7451
254/254 [==============================] - 1s 3ms/step - loss: 0.5158 - acc: 0.7453
254/254 [==============================] - 1s 4ms/step - loss: 0.5158 - acc: 0.7453 - val_loss: 0.4697 - val_acc: 0.7762
Epoch 8/50
1/254 [..............................] - ETA: 0s - loss: 0.7109 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.4501 - acc: 0.7941
37/254 [===>..........................] - ETA: 0s - loss: 0.4893 - acc: 0.7689
53/254 [=====>........................] - ETA: 0s - loss: 0.4957 - acc: 0.7557
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90/254 [=========>....................] - ETA: 0s - loss: 0.4987 - acc: 0.7594
109/254 [===========>..................] - ETA: 0s - loss: 0.5053 - acc: 0.7587
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146/254 [================>.............] - ETA: 0s - loss: 0.5064 - acc: 0.7466
163/254 [==================>...........] - ETA: 0s - loss: 0.5006 - acc: 0.7509
182/254 [====================>.........] - ETA: 0s - loss: 0.5081 - acc: 0.7475
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246/254 [============================>.] - ETA: 0s - loss: 0.5076 - acc: 0.7502
254/254 [==============================] - 1s 3ms/step - loss: 0.5082 - acc: 0.7493
254/254 [==============================] - 1s 4ms/step - loss: 0.5082 - acc: 0.7493 - val_loss: 0.4853 - val_acc: 0.7549
Epoch 9/50
1/254 [..............................] - ETA: 0s - loss: 0.6318 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5349 - acc: 0.7278
38/254 [===>..........................] - ETA: 0s - loss: 0.5057 - acc: 0.7421
56/254 [=====>........................] - ETA: 0s - loss: 0.5149 - acc: 0.7384
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93/254 [=========>....................] - ETA: 0s - loss: 0.5062 - acc: 0.7468
111/254 [============>.................] - ETA: 0s - loss: 0.5066 - acc: 0.7455
130/254 [==============>...............] - ETA: 0s - loss: 0.5073 - acc: 0.7462
150/254 [================>.............] - ETA: 0s - loss: 0.5047 - acc: 0.7503
169/254 [==================>...........] - ETA: 0s - loss: 0.4999 - acc: 0.7512
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218/254 [========================>.....] - ETA: 0s - loss: 0.4983 - acc: 0.7560
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241/254 [===========================>..] - ETA: 0s - loss: 0.5014 - acc: 0.7533
254/254 [==============================] - 1s 3ms/step - loss: 0.5038 - acc: 0.7512
254/254 [==============================] - 1s 4ms/step - loss: 0.5038 - acc: 0.7512 - val_loss: 0.5048 - val_acc: 0.7549
Epoch 10/50
1/254 [..............................] - ETA: 1s - loss: 0.6535 - acc: 0.5500
17/254 [=>............................] - ETA: 0s - loss: 0.5415 - acc: 0.7235
37/254 [===>..........................] - ETA: 0s - loss: 0.5352 - acc: 0.7216
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96/254 [==========>...................] - ETA: 0s - loss: 0.5193 - acc: 0.7365
116/254 [============>.................] - ETA: 0s - loss: 0.5133 - acc: 0.7427
133/254 [==============>...............] - ETA: 0s - loss: 0.5123 - acc: 0.7470
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254/254 [==============================] - 1s 3ms/step - loss: 0.5064 - acc: 0.7487
254/254 [==============================] - 1s 4ms/step - loss: 0.5064 - acc: 0.7487 - val_loss: 0.4729 - val_acc: 0.7762
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.4539 - acc: 0.8000
16/254 [>.............................] - ETA: 0s - loss: 0.4983 - acc: 0.7469
36/254 [===>..........................] - ETA: 0s - loss: 0.4996 - acc: 0.7403
55/254 [=====>........................] - ETA: 0s - loss: 0.5008 - acc: 0.7409
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91/254 [=========>....................] - ETA: 0s - loss: 0.5299 - acc: 0.7368
109/254 [===========>..................] - ETA: 0s - loss: 0.5287 - acc: 0.7344
128/254 [==============>...............] - ETA: 0s - loss: 0.5177 - acc: 0.7363
147/254 [================>.............] - ETA: 0s - loss: 0.5154 - acc: 0.7374
166/254 [==================>...........] - ETA: 0s - loss: 0.5109 - acc: 0.7446
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241/254 [===========================>..] - ETA: 0s - loss: 0.5054 - acc: 0.7490
254/254 [==============================] - 1s 3ms/step - loss: 0.5046 - acc: 0.7487
254/254 [==============================] - 1s 4ms/step - loss: 0.5046 - acc: 0.7487 - val_loss: 0.4789 - val_acc: 0.7584
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.4650 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.5405 - acc: 0.7667
38/254 [===>..........................] - ETA: 0s - loss: 0.5416 - acc: 0.7513
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185/254 [====================>.........] - ETA: 0s - loss: 0.5105 - acc: 0.7492
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246/254 [============================>.] - ETA: 0s - loss: 0.5104 - acc: 0.7478
254/254 [==============================] - 1s 3ms/step - loss: 0.5108 - acc: 0.7473
254/254 [==============================] - 1s 4ms/step - loss: 0.5108 - acc: 0.7473 - val_loss: 0.4910 - val_acc: 0.7531
Epoch 13/50
1/254 [..............................] - ETA: 1s - loss: 0.3051 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4723 - acc: 0.7722
37/254 [===>..........................] - ETA: 0s - loss: 0.4594 - acc: 0.7838
56/254 [=====>........................] - ETA: 0s - loss: 0.4855 - acc: 0.7696
73/254 [=======>......................] - ETA: 0s - loss: 0.4908 - acc: 0.7630
92/254 [=========>....................] - ETA: 0s - loss: 0.4937 - acc: 0.7614
111/254 [============>.................] - ETA: 0s - loss: 0.5041 - acc: 0.7604
128/254 [==============>...............] - ETA: 0s - loss: 0.5038 - acc: 0.7539
147/254 [================>.............] - ETA: 0s - loss: 0.5039 - acc: 0.7517
164/254 [==================>...........] - ETA: 0s - loss: 0.5033 - acc: 0.7503
184/254 [====================>.........] - ETA: 0s - loss: 0.5028 - acc: 0.7481
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254/254 [==============================] - 1s 3ms/step - loss: 0.5055 - acc: 0.7418
254/254 [==============================] - 1s 4ms/step - loss: 0.5055 - acc: 0.7418 - val_loss: 0.4852 - val_acc: 0.7567
Epoch 14/50
1/254 [..............................] - ETA: 0s - loss: 0.5763 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.5180 - acc: 0.7132
39/254 [===>..........................] - ETA: 0s - loss: 0.4874 - acc: 0.7410
57/254 [=====>........................] - ETA: 0s - loss: 0.5130 - acc: 0.7333
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92/254 [=========>....................] - ETA: 0s - loss: 0.5035 - acc: 0.7418
111/254 [============>.................] - ETA: 0s - loss: 0.5001 - acc: 0.7410
130/254 [==============>...............] - ETA: 0s - loss: 0.4976 - acc: 0.7427
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156/254 [=================>............] - ETA: 0s - loss: 0.4976 - acc: 0.7442
173/254 [===================>..........] - ETA: 0s - loss: 0.4945 - acc: 0.7471
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237/254 [==========================>...] - ETA: 0s - loss: 0.5000 - acc: 0.7458
252/254 [============================>.] - ETA: 0s - loss: 0.5015 - acc: 0.7470
254/254 [==============================] - 1s 3ms/step - loss: 0.5010 - acc: 0.7475
254/254 [==============================] - 1s 4ms/step - loss: 0.5010 - acc: 0.7475 - val_loss: 0.4877 - val_acc: 0.7531
Epoch 15/50
1/254 [..............................] - ETA: 0s - loss: 0.4121 - acc: 0.8500
14/254 [>.............................] - ETA: 0s - loss: 0.5784 - acc: 0.7143
33/254 [==>...........................] - ETA: 0s - loss: 0.5426 - acc: 0.7136
53/254 [=====>........................] - ETA: 0s - loss: 0.5344 - acc: 0.7274
71/254 [=======>......................] - ETA: 0s - loss: 0.5182 - acc: 0.7310
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106/254 [===========>..................] - ETA: 0s - loss: 0.5027 - acc: 0.7481
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149/254 [================>.............] - ETA: 0s - loss: 0.4970 - acc: 0.7520
164/254 [==================>...........] - ETA: 0s - loss: 0.4987 - acc: 0.7509
183/254 [====================>.........] - ETA: 0s - loss: 0.4978 - acc: 0.7533
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254/254 [==============================] - 1s 3ms/step - loss: 0.5012 - acc: 0.7473
254/254 [==============================] - 1s 4ms/step - loss: 0.5012 - acc: 0.7473 - val_loss: 0.4956 - val_acc: 0.7513
Epoch 16/50
1/254 [..............................] - ETA: 0s - loss: 0.5339 - acc: 0.6000
20/254 [=>............................] - ETA: 0s - loss: 0.5283 - acc: 0.7350
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254/254 [==============================] - 1s 3ms/step - loss: 0.5026 - acc: 0.7461
254/254 [==============================] - 1s 4ms/step - loss: 0.5026 - acc: 0.7461 - val_loss: 0.4833 - val_acc: 0.7549
Epoch 17/50
1/254 [..............................] - ETA: 1s - loss: 0.4883 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5367 - acc: 0.7474
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254/254 [==============================] - 1s 3ms/step - loss: 0.4935 - acc: 0.7495
254/254 [==============================] - 1s 5ms/step - loss: 0.4935 - acc: 0.7495 - val_loss: 0.4794 - val_acc: 0.7567
Run completed: runs/2024-05-06T19-35-59Z
Training run 8/52 (flags = list(64, 64, 0.001, 20, 50, "relu", "sigmoid", 0.2, 0.2))
Using run directory runs/2024-05-06T19-36-20Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 6:04 - loss: 0.6301 - acc: 0.4000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
18/254 [=>............................] - ETA: 0s - loss: 0.6658 - acc: 0.5167
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253/254 [============================>.] - ETA: 0s - loss: 0.5395 - acc: 0.7172
254/254 [==============================] - 2s 4ms/step - loss: 0.5389 - acc: 0.7175
254/254 [==============================] - 3s 7ms/step - loss: 0.5389 - acc: 0.7175 - val_loss: 0.4698 - val_acc: 0.7709
Epoch 2/50
1/254 [..............................] - ETA: 1s - loss: 0.4853 - acc: 0.9000
16/254 [>.............................] - ETA: 0s - loss: 0.4680 - acc: 0.7750
34/254 [===>..........................] - ETA: 0s - loss: 0.4939 - acc: 0.7618
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102/254 [===========>..................] - ETA: 0s - loss: 0.4903 - acc: 0.7672
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222/254 [=========================>....] - ETA: 0s - loss: 0.5069 - acc: 0.7511
233/254 [==========================>...] - ETA: 0s - loss: 0.5062 - acc: 0.7506
251/254 [============================>.] - ETA: 0s - loss: 0.5032 - acc: 0.7504
252/254 [============================>.] - ETA: 0s - loss: 0.5026 - acc: 0.7510
254/254 [==============================] - 1s 4ms/step - loss: 0.5012 - acc: 0.7518
254/254 [==============================] - 1s 5ms/step - loss: 0.5012 - acc: 0.7518 - val_loss: 0.4669 - val_acc: 0.7691
Epoch 3/50
1/254 [..............................] - ETA: 1s - loss: 0.5219 - acc: 0.8500
13/254 [>.............................] - ETA: 1s - loss: 0.4934 - acc: 0.7808
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140/254 [===============>..............] - ETA: 0s - loss: 0.5123 - acc: 0.7332
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189/254 [=====================>........] - ETA: 0s - loss: 0.5038 - acc: 0.7434
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241/254 [===========================>..] - ETA: 0s - loss: 0.4944 - acc: 0.7519
254/254 [==============================] - 1s 3ms/step - loss: 0.4947 - acc: 0.7499
254/254 [==============================] - 1s 5ms/step - loss: 0.4947 - acc: 0.7499 - val_loss: 0.4927 - val_acc: 0.7567
Epoch 4/50
1/254 [..............................] - ETA: 1s - loss: 0.6543 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4998 - acc: 0.7611
37/254 [===>..........................] - ETA: 0s - loss: 0.5144 - acc: 0.7311
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248/254 [============================>.] - ETA: 0s - loss: 0.4845 - acc: 0.7546
254/254 [==============================] - 1s 3ms/step - loss: 0.4843 - acc: 0.7550
254/254 [==============================] - 1s 4ms/step - loss: 0.4843 - acc: 0.7550 - val_loss: 0.4506 - val_acc: 0.7798
Epoch 5/50
1/254 [..............................] - ETA: 0s - loss: 0.4316 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4315 - acc: 0.7750
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86/254 [=========>....................] - ETA: 0s - loss: 0.4929 - acc: 0.7407
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119/254 [=============>................] - ETA: 0s - loss: 0.5004 - acc: 0.7420
136/254 [===============>..............] - ETA: 0s - loss: 0.5000 - acc: 0.7397
154/254 [=================>............] - ETA: 0s - loss: 0.4983 - acc: 0.7425
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254/254 [==============================] - 1s 3ms/step - loss: 0.4896 - acc: 0.7514
254/254 [==============================] - 1s 4ms/step - loss: 0.4896 - acc: 0.7514 - val_loss: 0.4950 - val_acc: 0.7602
Epoch 6/50
1/254 [..............................] - ETA: 1s - loss: 0.5392 - acc: 0.6500
14/254 [>.............................] - ETA: 1s - loss: 0.3911 - acc: 0.7857
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109/254 [===========>..................] - ETA: 0s - loss: 0.4774 - acc: 0.7596
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248/254 [============================>.] - ETA: 0s - loss: 0.4863 - acc: 0.7522
254/254 [==============================] - 1s 4ms/step - loss: 0.4869 - acc: 0.7510
254/254 [==============================] - 1s 5ms/step - loss: 0.4869 - acc: 0.7510 - val_loss: 0.4610 - val_acc: 0.7744
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.4599 - acc: 0.9000
10/254 [>.............................] - ETA: 1s - loss: 0.4101 - acc: 0.7900
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109/254 [===========>..................] - ETA: 0s - loss: 0.4883 - acc: 0.7569
128/254 [==============>...............] - ETA: 0s - loss: 0.4881 - acc: 0.7555
147/254 [================>.............] - ETA: 0s - loss: 0.4929 - acc: 0.7527
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183/254 [====================>.........] - ETA: 0s - loss: 0.4857 - acc: 0.7544
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236/254 [==========================>...] - ETA: 0s - loss: 0.4830 - acc: 0.7593
253/254 [============================>.] - ETA: 0s - loss: 0.4856 - acc: 0.7553
254/254 [==============================] - 1s 3ms/step - loss: 0.4853 - acc: 0.7556
254/254 [==============================] - 1s 4ms/step - loss: 0.4853 - acc: 0.7556 - val_loss: 0.4739 - val_acc: 0.7744
Epoch 8/50
1/254 [..............................] - ETA: 1s - loss: 0.5082 - acc: 0.8000
14/254 [>.............................] - ETA: 0s - loss: 0.4427 - acc: 0.7607
24/254 [=>............................] - ETA: 1s - loss: 0.4373 - acc: 0.7792
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149/254 [================>.............] - ETA: 0s - loss: 0.4670 - acc: 0.7678
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183/254 [====================>.........] - ETA: 0s - loss: 0.4694 - acc: 0.7642
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253/254 [============================>.] - ETA: 0s - loss: 0.4770 - acc: 0.7589
254/254 [==============================] - 1s 3ms/step - loss: 0.4776 - acc: 0.7585
254/254 [==============================] - 1s 4ms/step - loss: 0.4776 - acc: 0.7585 - val_loss: 0.4668 - val_acc: 0.7709
Epoch 9/50
1/254 [..............................] - ETA: 1s - loss: 0.4354 - acc: 0.8000
17/254 [=>............................] - ETA: 1s - loss: 0.4993 - acc: 0.7676
18/254 [=>............................] - ETA: 2s - loss: 0.4973 - acc: 0.7667
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251/254 [============================>.] - ETA: 0s - loss: 0.4787 - acc: 0.7600
254/254 [==============================] - 1s 4ms/step - loss: 0.4776 - acc: 0.7605
254/254 [==============================] - 1s 5ms/step - loss: 0.4776 - acc: 0.7605 - val_loss: 0.4876 - val_acc: 0.7460
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.3862 - acc: 0.9000
16/254 [>.............................] - ETA: 0s - loss: 0.5084 - acc: 0.7344
35/254 [===>..........................] - ETA: 0s - loss: 0.5046 - acc: 0.7586
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240/254 [===========================>..] - ETA: 0s - loss: 0.4758 - acc: 0.7613
254/254 [==============================] - 1s 3ms/step - loss: 0.4741 - acc: 0.7621
254/254 [==============================] - 1s 4ms/step - loss: 0.4741 - acc: 0.7621 - val_loss: 0.4818 - val_acc: 0.7584
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.4283 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5188 - acc: 0.7417
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254/254 [==============================] - 1s 3ms/step - loss: 0.4764 - acc: 0.7564
254/254 [==============================] - 1s 4ms/step - loss: 0.4764 - acc: 0.7564 - val_loss: 0.4770 - val_acc: 0.7709
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.6528 - acc: 0.6500
17/254 [=>............................] - ETA: 0s - loss: 0.4593 - acc: 0.7559
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254/254 [==============================] - 1s 4ms/step - loss: 0.4734 - acc: 0.7579
254/254 [==============================] - 1s 5ms/step - loss: 0.4734 - acc: 0.7579 - val_loss: 0.4994 - val_acc: 0.7425
Epoch 13/50
1/254 [..............................] - ETA: 0s - loss: 0.5204 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.4494 - acc: 0.7444
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91/254 [=========>....................] - ETA: 0s - loss: 0.4703 - acc: 0.7621
109/254 [===========>..................] - ETA: 0s - loss: 0.4689 - acc: 0.7619
126/254 [=============>................] - ETA: 0s - loss: 0.4731 - acc: 0.7591
144/254 [================>.............] - ETA: 0s - loss: 0.4769 - acc: 0.7590
149/254 [================>.............] - ETA: 0s - loss: 0.4740 - acc: 0.7601
165/254 [==================>...........] - ETA: 0s - loss: 0.4737 - acc: 0.7582
177/254 [===================>..........] - ETA: 0s - loss: 0.4780 - acc: 0.7571
193/254 [=====================>........] - ETA: 0s - loss: 0.4783 - acc: 0.7575
206/254 [=======================>......] - ETA: 0s - loss: 0.4781 - acc: 0.7551
222/254 [=========================>....] - ETA: 0s - loss: 0.4771 - acc: 0.7568
238/254 [===========================>..] - ETA: 0s - loss: 0.4732 - acc: 0.7605
254/254 [==============================] - 1s 3ms/step - loss: 0.4736 - acc: 0.7579
254/254 [==============================] - 1s 4ms/step - loss: 0.4736 - acc: 0.7579 - val_loss: 0.4751 - val_acc: 0.7762
Epoch 14/50
1/254 [..............................] - ETA: 0s - loss: 0.3496 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4035 - acc: 0.8000
37/254 [===>..........................] - ETA: 0s - loss: 0.4104 - acc: 0.7959
55/254 [=====>........................] - ETA: 0s - loss: 0.4323 - acc: 0.7873
73/254 [=======>......................] - ETA: 0s - loss: 0.4497 - acc: 0.7781
90/254 [=========>....................] - ETA: 0s - loss: 0.4574 - acc: 0.7728
108/254 [===========>..................] - ETA: 0s - loss: 0.4570 - acc: 0.7731
126/254 [=============>................] - ETA: 0s - loss: 0.4559 - acc: 0.7738
133/254 [==============>...............] - ETA: 0s - loss: 0.4569 - acc: 0.7722
147/254 [================>.............] - ETA: 0s - loss: 0.4652 - acc: 0.7670
161/254 [==================>...........] - ETA: 0s - loss: 0.4688 - acc: 0.7643
179/254 [====================>.........] - ETA: 0s - loss: 0.4636 - acc: 0.7709
194/254 [=====================>........] - ETA: 0s - loss: 0.4626 - acc: 0.7740
209/254 [=======================>......] - ETA: 0s - loss: 0.4645 - acc: 0.7730
225/254 [=========================>....] - ETA: 0s - loss: 0.4674 - acc: 0.7689
243/254 [===========================>..] - ETA: 0s - loss: 0.4673 - acc: 0.7663
254/254 [==============================] - 1s 3ms/step - loss: 0.4699 - acc: 0.7660
254/254 [==============================] - 1s 4ms/step - loss: 0.4699 - acc: 0.7660 - val_loss: 0.4704 - val_acc: 0.7655
Run completed: runs/2024-05-06T19-36-20Z
Training run 9/52 (flags = list(32, 32, 0.01, 50, 50, "sigmoid", "tanh", 0.5, 0.2))
Using run directory runs/2024-05-06T19-36-38Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/102 [..............................] - ETA: 2:01 - loss: 0.6867 - acc: 0.7000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0290s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0290s). Check your callbacks.
16/102 [===>..........................] - ETA: 0s - loss: 0.7265 - acc: 0.5863
34/102 [=========>....................] - ETA: 0s - loss: 0.6990 - acc: 0.5782
51/102 [==============>...............] - ETA: 0s - loss: 0.6805 - acc: 0.5949
67/102 [==================>...........] - ETA: 0s - loss: 0.6670 - acc: 0.6113
85/102 [========================>.....] - ETA: 0s - loss: 0.6569 - acc: 0.6207
102/102 [==============================] - 2s 3ms/step - loss: 0.6487 - acc: 0.6276
102/102 [==============================] - 2s 11ms/step - loss: 0.6487 - acc: 0.6276 - val_loss: 0.5247 - val_acc: 0.7584
Epoch 2/50
1/102 [..............................] - ETA: 0s - loss: 0.6238 - acc: 0.6400
14/102 [===>..........................] - ETA: 0s - loss: 0.6077 - acc: 0.6757
32/102 [========>.....................] - ETA: 0s - loss: 0.5763 - acc: 0.6969
46/102 [============>.................] - ETA: 0s - loss: 0.5874 - acc: 0.6922
57/102 [===============>..............] - ETA: 0s - loss: 0.5812 - acc: 0.6940
70/102 [===================>..........] - ETA: 0s - loss: 0.5697 - acc: 0.7009
86/102 [========================>.....] - ETA: 0s - loss: 0.5654 - acc: 0.7051
102/102 [==============================] - 0s 4ms/step - loss: 0.5654 - acc: 0.7043
102/102 [==============================] - 1s 6ms/step - loss: 0.5654 - acc: 0.7043 - val_loss: 0.5260 - val_acc: 0.7282
Epoch 3/50
1/102 [..............................] - ETA: 0s - loss: 0.6400 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5281 - acc: 0.7133
33/102 [========>.....................] - ETA: 0s - loss: 0.5375 - acc: 0.7176
43/102 [===========>..................] - ETA: 0s - loss: 0.5380 - acc: 0.7200
59/102 [================>.............] - ETA: 0s - loss: 0.5370 - acc: 0.7197
77/102 [=====================>........] - ETA: 0s - loss: 0.5415 - acc: 0.7192
94/102 [==========================>...] - ETA: 0s - loss: 0.5403 - acc: 0.7200
102/102 [==============================] - 0s 3ms/step - loss: 0.5399 - acc: 0.7215
102/102 [==============================] - 1s 6ms/step - loss: 0.5399 - acc: 0.7215 - val_loss: 0.5048 - val_acc: 0.7531
Epoch 4/50
1/102 [..............................] - ETA: 0s - loss: 0.5493 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.5595 - acc: 0.7153
36/102 [=========>....................] - ETA: 0s - loss: 0.5486 - acc: 0.7156
53/102 [==============>...............] - ETA: 0s - loss: 0.5434 - acc: 0.7264
60/102 [================>.............] - ETA: 0s - loss: 0.5444 - acc: 0.7217
77/102 [=====================>........] - ETA: 0s - loss: 0.5307 - acc: 0.7301
96/102 [===========================>..] - ETA: 0s - loss: 0.5313 - acc: 0.7294
102/102 [==============================] - 0s 3ms/step - loss: 0.5302 - acc: 0.7299
102/102 [==============================] - 1s 6ms/step - loss: 0.5302 - acc: 0.7299 - val_loss: 0.4807 - val_acc: 0.7673
Epoch 5/50
1/102 [..............................] - ETA: 0s - loss: 0.4453 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5147 - acc: 0.7422
35/102 [=========>....................] - ETA: 0s - loss: 0.5265 - acc: 0.7309
52/102 [==============>...............] - ETA: 0s - loss: 0.5142 - acc: 0.7369
69/102 [===================>..........] - ETA: 0s - loss: 0.5191 - acc: 0.7377
87/102 [========================>.....] - ETA: 0s - loss: 0.5209 - acc: 0.7386
102/102 [==============================] - 0s 3ms/step - loss: 0.5210 - acc: 0.7374
102/102 [==============================] - 1s 5ms/step - loss: 0.5210 - acc: 0.7374 - val_loss: 0.4827 - val_acc: 0.7638
Epoch 6/50
1/102 [..............................] - ETA: 0s - loss: 0.5310 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.5089 - acc: 0.7706
26/102 [======>.......................] - ETA: 0s - loss: 0.5098 - acc: 0.7631
39/102 [==========>...................] - ETA: 0s - loss: 0.5161 - acc: 0.7610
54/102 [==============>...............] - ETA: 0s - loss: 0.5308 - acc: 0.7448
69/102 [===================>..........] - ETA: 0s - loss: 0.5187 - acc: 0.7432
85/102 [========================>.....] - ETA: 0s - loss: 0.5225 - acc: 0.7412
101/102 [============================>.] - ETA: 0s - loss: 0.5191 - acc: 0.7416
102/102 [==============================] - 0s 4ms/step - loss: 0.5183 - acc: 0.7422
102/102 [==============================] - 1s 7ms/step - loss: 0.5183 - acc: 0.7422 - val_loss: 0.4717 - val_acc: 0.7673
Epoch 7/50
1/102 [..............................] - ETA: 0s - loss: 0.4168 - acc: 0.7600
14/102 [===>..........................] - ETA: 0s - loss: 0.4728 - acc: 0.7500
21/102 [=====>........................] - ETA: 0s - loss: 0.4875 - acc: 0.7457
34/102 [=========>....................] - ETA: 0s - loss: 0.5046 - acc: 0.7418
52/102 [==============>...............] - ETA: 0s - loss: 0.5173 - acc: 0.7469
67/102 [==================>...........] - ETA: 0s - loss: 0.5171 - acc: 0.7388
86/102 [========================>.....] - ETA: 0s - loss: 0.5213 - acc: 0.7379
102/102 [==============================] - 0s 4ms/step - loss: 0.5198 - acc: 0.7394
102/102 [==============================] - 1s 7ms/step - loss: 0.5198 - acc: 0.7394 - val_loss: 0.4713 - val_acc: 0.7691
Epoch 8/50
1/102 [..............................] - ETA: 0s - loss: 0.4674 - acc: 0.8400
18/102 [====>.........................] - ETA: 0s - loss: 0.5238 - acc: 0.7611
37/102 [=========>....................] - ETA: 0s - loss: 0.5053 - acc: 0.7497
55/102 [===============>..............] - ETA: 0s - loss: 0.5027 - acc: 0.7473
72/102 [====================>.........] - ETA: 0s - loss: 0.5084 - acc: 0.7433
90/102 [=========================>....] - ETA: 0s - loss: 0.5104 - acc: 0.7409
102/102 [==============================] - 0s 3ms/step - loss: 0.5133 - acc: 0.7376
102/102 [==============================] - 1s 5ms/step - loss: 0.5133 - acc: 0.7376 - val_loss: 0.4917 - val_acc: 0.7620
Epoch 9/50
1/102 [..............................] - ETA: 0s - loss: 0.6855 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.5501 - acc: 0.7165
33/102 [========>.....................] - ETA: 0s - loss: 0.5265 - acc: 0.7273
51/102 [==============>...............] - ETA: 0s - loss: 0.5196 - acc: 0.7282
63/102 [=================>............] - ETA: 0s - loss: 0.5144 - acc: 0.7330
77/102 [=====================>........] - ETA: 0s - loss: 0.5154 - acc: 0.7304
88/102 [========================>.....] - ETA: 0s - loss: 0.5086 - acc: 0.7323
102/102 [==============================] - 0s 4ms/step - loss: 0.5097 - acc: 0.7337
102/102 [==============================] - 1s 6ms/step - loss: 0.5097 - acc: 0.7337 - val_loss: 0.4681 - val_acc: 0.7691
Epoch 10/50
1/102 [..............................] - ETA: 0s - loss: 0.6165 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.5561 - acc: 0.7244
36/102 [=========>....................] - ETA: 0s - loss: 0.5256 - acc: 0.7367
54/102 [==============>...............] - ETA: 0s - loss: 0.5200 - acc: 0.7393
71/102 [===================>..........] - ETA: 0s - loss: 0.5223 - acc: 0.7363
89/102 [=========================>....] - ETA: 0s - loss: 0.5198 - acc: 0.7384
102/102 [==============================] - 0s 3ms/step - loss: 0.5158 - acc: 0.7384
102/102 [==============================] - 1s 5ms/step - loss: 0.5158 - acc: 0.7384 - val_loss: 0.4798 - val_acc: 0.7638
Epoch 11/50
1/102 [..............................] - ETA: 0s - loss: 0.6091 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.5111 - acc: 0.7344
35/102 [=========>....................] - ETA: 0s - loss: 0.5109 - acc: 0.7320
52/102 [==============>...............] - ETA: 0s - loss: 0.5071 - acc: 0.7327
69/102 [===================>..........] - ETA: 0s - loss: 0.5040 - acc: 0.7368
88/102 [========================>.....] - ETA: 0s - loss: 0.5029 - acc: 0.7389
102/102 [==============================] - 0s 3ms/step - loss: 0.5069 - acc: 0.7368
102/102 [==============================] - 1s 6ms/step - loss: 0.5069 - acc: 0.7368 - val_loss: 0.4935 - val_acc: 0.7602
Epoch 12/50
1/102 [..............................] - ETA: 0s - loss: 0.4264 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5063 - acc: 0.7482
29/102 [=======>......................] - ETA: 0s - loss: 0.5061 - acc: 0.7421
45/102 [============>.................] - ETA: 0s - loss: 0.5043 - acc: 0.7409
62/102 [=================>............] - ETA: 0s - loss: 0.5018 - acc: 0.7361
77/102 [=====================>........] - ETA: 0s - loss: 0.5041 - acc: 0.7366
86/102 [========================>.....] - ETA: 0s - loss: 0.5047 - acc: 0.7344
100/102 [============================>.] - ETA: 0s - loss: 0.5032 - acc: 0.7344
102/102 [==============================] - 0s 4ms/step - loss: 0.5020 - acc: 0.7353
102/102 [==============================] - 1s 7ms/step - loss: 0.5020 - acc: 0.7353 - val_loss: 0.4949 - val_acc: 0.7584
Epoch 13/50
1/102 [..............................] - ETA: 0s - loss: 0.4996 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.4750 - acc: 0.7656
33/102 [========>.....................] - ETA: 0s - loss: 0.5039 - acc: 0.7503
38/102 [==========>...................] - ETA: 0s - loss: 0.5098 - acc: 0.7458
50/102 [=============>................] - ETA: 0s - loss: 0.5113 - acc: 0.7452
65/102 [==================>...........] - ETA: 0s - loss: 0.5022 - acc: 0.7440
80/102 [======================>.......] - ETA: 0s - loss: 0.4988 - acc: 0.7412
98/102 [===========================>..] - ETA: 0s - loss: 0.5024 - acc: 0.7386
102/102 [==============================] - 0s 4ms/step - loss: 0.5040 - acc: 0.7388
102/102 [==============================] - 1s 7ms/step - loss: 0.5040 - acc: 0.7388 - val_loss: 0.4856 - val_acc: 0.7620
Epoch 14/50
1/102 [..............................] - ETA: 0s - loss: 0.6208 - acc: 0.6200
16/102 [===>..........................] - ETA: 0s - loss: 0.5031 - acc: 0.7287
29/102 [=======>......................] - ETA: 0s - loss: 0.5092 - acc: 0.7324
38/102 [==========>...................] - ETA: 0s - loss: 0.5124 - acc: 0.7363
55/102 [===============>..............] - ETA: 0s - loss: 0.5044 - acc: 0.7364
74/102 [====================>.........] - ETA: 0s - loss: 0.5001 - acc: 0.7395
91/102 [=========================>....] - ETA: 0s - loss: 0.4960 - acc: 0.7455
102/102 [==============================] - 0s 3ms/step - loss: 0.4987 - acc: 0.7424
102/102 [==============================] - 1s 6ms/step - loss: 0.4987 - acc: 0.7424 - val_loss: 0.5040 - val_acc: 0.7496
Epoch 15/50
1/102 [..............................] - ETA: 0s - loss: 0.3586 - acc: 0.8200
17/102 [====>.........................] - ETA: 0s - loss: 0.5133 - acc: 0.7412
36/102 [=========>....................] - ETA: 0s - loss: 0.5047 - acc: 0.7478
55/102 [===============>..............] - ETA: 0s - loss: 0.4984 - acc: 0.7440
71/102 [===================>..........] - ETA: 0s - loss: 0.4983 - acc: 0.7442
78/102 [=====================>........] - ETA: 0s - loss: 0.4934 - acc: 0.7472
94/102 [==========================>...] - ETA: 0s - loss: 0.4969 - acc: 0.7496
102/102 [==============================] - 0s 3ms/step - loss: 0.5018 - acc: 0.7489
102/102 [==============================] - 1s 6ms/step - loss: 0.5018 - acc: 0.7489 - val_loss: 0.4942 - val_acc: 0.7513
Epoch 16/50
1/102 [..............................] - ETA: 0s - loss: 0.6258 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.5241 - acc: 0.7176
36/102 [=========>....................] - ETA: 0s - loss: 0.5237 - acc: 0.7272
53/102 [==============>...............] - ETA: 0s - loss: 0.5138 - acc: 0.7298
69/102 [===================>..........] - ETA: 0s - loss: 0.5093 - acc: 0.7345
86/102 [========================>.....] - ETA: 0s - loss: 0.5036 - acc: 0.7391
102/102 [==============================] - 0s 3ms/step - loss: 0.5016 - acc: 0.7388
102/102 [==============================] - 1s 5ms/step - loss: 0.5016 - acc: 0.7388 - val_loss: 0.4813 - val_acc: 0.7655
Epoch 17/50
1/102 [..............................] - ETA: 0s - loss: 0.5495 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.5367 - acc: 0.7435
25/102 [======>.......................] - ETA: 0s - loss: 0.5307 - acc: 0.7416
40/102 [==========>...................] - ETA: 0s - loss: 0.5149 - acc: 0.7360
53/102 [==============>...............] - ETA: 0s - loss: 0.5094 - acc: 0.7351
68/102 [===================>..........] - ETA: 0s - loss: 0.5023 - acc: 0.7412
84/102 [=======================>......] - ETA: 0s - loss: 0.5069 - acc: 0.7388
102/102 [==============================] - 0s 4ms/step - loss: 0.5011 - acc: 0.7443
102/102 [==============================] - 1s 6ms/step - loss: 0.5011 - acc: 0.7443 - val_loss: 0.4812 - val_acc: 0.7655
Epoch 18/50
1/102 [..............................] - ETA: 0s - loss: 0.6207 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5152 - acc: 0.7400
37/102 [=========>....................] - ETA: 0s - loss: 0.5129 - acc: 0.7405
55/102 [===============>..............] - ETA: 0s - loss: 0.5064 - acc: 0.7433
74/102 [====================>.........] - ETA: 0s - loss: 0.5049 - acc: 0.7427
91/102 [=========================>....] - ETA: 0s - loss: 0.5001 - acc: 0.7457
102/102 [==============================] - 0s 3ms/step - loss: 0.4984 - acc: 0.7467
102/102 [==============================] - 1s 5ms/step - loss: 0.4984 - acc: 0.7467 - val_loss: 0.4769 - val_acc: 0.7691
Epoch 19/50
1/102 [..............................] - ETA: 0s - loss: 0.4741 - acc: 0.8200
16/102 [===>..........................] - ETA: 0s - loss: 0.5372 - acc: 0.7437
34/102 [=========>....................] - ETA: 0s - loss: 0.5158 - acc: 0.7441
51/102 [==============>...............] - ETA: 0s - loss: 0.5105 - acc: 0.7455
68/102 [===================>..........] - ETA: 0s - loss: 0.5081 - acc: 0.7435
70/102 [===================>..........] - ETA: 0s - loss: 0.5083 - acc: 0.7417
88/102 [========================>.....] - ETA: 0s - loss: 0.5016 - acc: 0.7443
102/102 [==============================] - 0s 4ms/step - loss: 0.5032 - acc: 0.7426
102/102 [==============================] - 1s 7ms/step - loss: 0.5032 - acc: 0.7426 - val_loss: 0.4806 - val_acc: 0.7655
Run completed: runs/2024-05-06T19-36-38Z
Training run 10/52 (flags = list(64, 16, 0.01, 50, 30, "tanh", "tanh", 0.2, 0.2))
Using run directory runs/2024-05-06T19-36-52Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:02 - loss: 0.4877 - acc: 0.7200
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
18/102 [====>.........................] - ETA: 0s - loss: 0.6114 - acc: 0.6867
36/102 [=========>....................] - ETA: 0s - loss: 0.5802 - acc: 0.6917
53/102 [==============>...............] - ETA: 0s - loss: 0.5530 - acc: 0.7106
70/102 [===================>..........] - ETA: 0s - loss: 0.5362 - acc: 0.7211
88/102 [========================>.....] - ETA: 0s - loss: 0.5376 - acc: 0.7245
102/102 [==============================] - 2s 3ms/step - loss: 0.5357 - acc: 0.7276
102/102 [==============================] - 2s 11ms/step - loss: 0.5357 - acc: 0.7276 - val_loss: 0.5317 - val_acc: 0.7425
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.4946 - acc: 0.7000
11/102 [==>...........................] - ETA: 0s - loss: 0.4894 - acc: 0.7436
23/102 [=====>........................] - ETA: 0s - loss: 0.4972 - acc: 0.7522
37/102 [=========>....................] - ETA: 0s - loss: 0.5182 - acc: 0.7514
46/102 [============>.................] - ETA: 0s - loss: 0.5185 - acc: 0.7487
54/102 [==============>...............] - ETA: 0s - loss: 0.5135 - acc: 0.7500
66/102 [==================>...........] - ETA: 0s - loss: 0.5084 - acc: 0.7473
80/102 [======================>.......] - ETA: 0s - loss: 0.5041 - acc: 0.7563
90/102 [=========================>....] - ETA: 0s - loss: 0.5044 - acc: 0.7551
102/102 [==============================] - 0s 4ms/step - loss: 0.5048 - acc: 0.7540
102/102 [==============================] - 1s 7ms/step - loss: 0.5048 - acc: 0.7540 - val_loss: 0.5037 - val_acc: 0.7531
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.8034 - acc: 0.6400
17/102 [====>.........................] - ETA: 0s - loss: 0.5152 - acc: 0.7553
35/102 [=========>....................] - ETA: 0s - loss: 0.4932 - acc: 0.7594
53/102 [==============>...............] - ETA: 0s - loss: 0.4924 - acc: 0.7653
70/102 [===================>..........] - ETA: 0s - loss: 0.4983 - acc: 0.7554
86/102 [========================>.....] - ETA: 0s - loss: 0.5066 - acc: 0.7530
102/102 [==============================] - 0s 3ms/step - loss: 0.5030 - acc: 0.7546
102/102 [==============================] - 1s 6ms/step - loss: 0.5030 - acc: 0.7546 - val_loss: 0.4973 - val_acc: 0.7584
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.5813 - acc: 0.7400
16/102 [===>..........................] - ETA: 0s - loss: 0.5127 - acc: 0.7262
25/102 [======>.......................] - ETA: 0s - loss: 0.5034 - acc: 0.7336
42/102 [===========>..................] - ETA: 0s - loss: 0.4981 - acc: 0.7495
58/102 [================>.............] - ETA: 0s - loss: 0.4829 - acc: 0.7628
70/102 [===================>..........] - ETA: 0s - loss: 0.4915 - acc: 0.7606
87/102 [========================>.....] - ETA: 0s - loss: 0.4921 - acc: 0.7572
102/102 [==============================] - 0s 4ms/step - loss: 0.4923 - acc: 0.7571
102/102 [==============================] - 1s 6ms/step - loss: 0.4923 - acc: 0.7571 - val_loss: 0.4943 - val_acc: 0.7567
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.4640 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.5305 - acc: 0.7188
35/102 [=========>....................] - ETA: 0s - loss: 0.5018 - acc: 0.7400
53/102 [==============>...............] - ETA: 0s - loss: 0.4935 - acc: 0.7577
71/102 [===================>..........] - ETA: 0s - loss: 0.4841 - acc: 0.7569
81/102 [======================>.......] - ETA: 0s - loss: 0.4842 - acc: 0.7578
89/102 [=========================>....] - ETA: 0s - loss: 0.4952 - acc: 0.7548
102/102 [==============================] - 0s 4ms/step - loss: 0.4957 - acc: 0.7566
102/102 [==============================] - 1s 7ms/step - loss: 0.4957 - acc: 0.7566 - val_loss: 0.4978 - val_acc: 0.7496
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.4929 - acc: 0.8800
16/102 [===>..........................] - ETA: 0s - loss: 0.5096 - acc: 0.7337
34/102 [=========>....................] - ETA: 0s - loss: 0.4885 - acc: 0.7512
52/102 [==============>...............] - ETA: 0s - loss: 0.4894 - acc: 0.7485
69/102 [===================>..........] - ETA: 0s - loss: 0.4992 - acc: 0.7496
83/102 [=======================>......] - ETA: 0s - loss: 0.5000 - acc: 0.7492
100/102 [============================>.] - ETA: 0s - loss: 0.4946 - acc: 0.7530
102/102 [==============================] - 0s 3ms/step - loss: 0.4951 - acc: 0.7520
102/102 [==============================] - 1s 5ms/step - loss: 0.4951 - acc: 0.7520 - val_loss: 0.5044 - val_acc: 0.7513
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.6013 - acc: 0.6400
18/102 [====>.........................] - ETA: 0s - loss: 0.5274 - acc: 0.7378
35/102 [=========>....................] - ETA: 0s - loss: 0.4977 - acc: 0.7451
46/102 [============>.................] - ETA: 0s - loss: 0.4956 - acc: 0.7465
61/102 [================>.............] - ETA: 0s - loss: 0.4981 - acc: 0.7495
70/102 [===================>..........] - ETA: 0s - loss: 0.4903 - acc: 0.7546
88/102 [========================>.....] - ETA: 0s - loss: 0.4871 - acc: 0.7545
102/102 [==============================] - 0s 4ms/step - loss: 0.4904 - acc: 0.7562
102/102 [==============================] - 1s 6ms/step - loss: 0.4904 - acc: 0.7562 - val_loss: 0.4770 - val_acc: 0.7691
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.4558 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.5176 - acc: 0.7388
35/102 [=========>....................] - ETA: 0s - loss: 0.4970 - acc: 0.7469
51/102 [==============>...............] - ETA: 0s - loss: 0.5069 - acc: 0.7463
69/102 [===================>..........] - ETA: 0s - loss: 0.4965 - acc: 0.7493
86/102 [========================>.....] - ETA: 0s - loss: 0.4923 - acc: 0.7498
102/102 [==============================] - 0s 3ms/step - loss: 0.4892 - acc: 0.7522
102/102 [==============================] - 1s 6ms/step - loss: 0.4892 - acc: 0.7522 - val_loss: 0.4829 - val_acc: 0.7620
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.4615 - acc: 0.7000
12/102 [==>...........................] - ETA: 0s - loss: 0.4778 - acc: 0.7517
30/102 [=======>......................] - ETA: 0s - loss: 0.4798 - acc: 0.7600
37/102 [=========>....................] - ETA: 0s - loss: 0.4788 - acc: 0.7578
53/102 [==============>...............] - ETA: 0s - loss: 0.4824 - acc: 0.7585
70/102 [===================>..........] - ETA: 0s - loss: 0.4877 - acc: 0.7560
87/102 [========================>.....] - ETA: 0s - loss: 0.4883 - acc: 0.7563
100/102 [============================>.] - ETA: 0s - loss: 0.4861 - acc: 0.7560
102/102 [==============================] - 0s 4ms/step - loss: 0.4855 - acc: 0.7568
102/102 [==============================] - 1s 6ms/step - loss: 0.4855 - acc: 0.7568 - val_loss: 0.4767 - val_acc: 0.7726
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.6117 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5106 - acc: 0.7553
35/102 [=========>....................] - ETA: 0s - loss: 0.5010 - acc: 0.7543
53/102 [==============>...............] - ETA: 0s - loss: 0.4875 - acc: 0.7626
71/102 [===================>..........] - ETA: 0s - loss: 0.4914 - acc: 0.7569
88/102 [========================>.....] - ETA: 0s - loss: 0.4869 - acc: 0.7591
99/102 [============================>.] - ETA: 0s - loss: 0.4920 - acc: 0.7537
102/102 [==============================] - 0s 3ms/step - loss: 0.4900 - acc: 0.7548
102/102 [==============================] - 1s 6ms/step - loss: 0.4900 - acc: 0.7548 - val_loss: 0.4867 - val_acc: 0.7709
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.5273 - acc: 0.8200
16/102 [===>..........................] - ETA: 0s - loss: 0.4635 - acc: 0.7763
35/102 [=========>....................] - ETA: 0s - loss: 0.4657 - acc: 0.7789
52/102 [==============>...............] - ETA: 0s - loss: 0.4650 - acc: 0.7800
70/102 [===================>..........] - ETA: 0s - loss: 0.4891 - acc: 0.7611
88/102 [========================>.....] - ETA: 0s - loss: 0.4909 - acc: 0.7600
102/102 [==============================] - 0s 3ms/step - loss: 0.4863 - acc: 0.7599
102/102 [==============================] - 1s 5ms/step - loss: 0.4863 - acc: 0.7599 - val_loss: 0.4979 - val_acc: 0.7442
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.5910 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.4880 - acc: 0.7576
34/102 [=========>....................] - ETA: 0s - loss: 0.4875 - acc: 0.7600
52/102 [==============>...............] - ETA: 0s - loss: 0.4882 - acc: 0.7608
59/102 [================>.............] - ETA: 0s - loss: 0.4852 - acc: 0.7641
77/102 [=====================>........] - ETA: 0s - loss: 0.4869 - acc: 0.7595
89/102 [=========================>....] - ETA: 0s - loss: 0.4826 - acc: 0.7611
98/102 [===========================>..] - ETA: 0s - loss: 0.4878 - acc: 0.7600
102/102 [==============================] - 0s 5ms/step - loss: 0.4902 - acc: 0.7583
102/102 [==============================] - 1s 7ms/step - loss: 0.4902 - acc: 0.7583 - val_loss: 0.4854 - val_acc: 0.7531
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.5212 - acc: 0.6600
18/102 [====>.........................] - ETA: 0s - loss: 0.4807 - acc: 0.7367
35/102 [=========>....................] - ETA: 0s - loss: 0.4713 - acc: 0.7623
52/102 [==============>...............] - ETA: 0s - loss: 0.4768 - acc: 0.7604
70/102 [===================>..........] - ETA: 0s - loss: 0.4851 - acc: 0.7571
88/102 [========================>.....] - ETA: 0s - loss: 0.4862 - acc: 0.7557
102/102 [==============================] - 0s 3ms/step - loss: 0.4839 - acc: 0.7568
102/102 [==============================] - 1s 5ms/step - loss: 0.4839 - acc: 0.7568 - val_loss: 0.4867 - val_acc: 0.7531
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.4031 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.4820 - acc: 0.7529
34/102 [=========>....................] - ETA: 0s - loss: 0.4654 - acc: 0.7676
49/102 [=============>................] - ETA: 0s - loss: 0.4763 - acc: 0.7657
66/102 [==================>...........] - ETA: 0s - loss: 0.4760 - acc: 0.7645
83/102 [=======================>......] - ETA: 0s - loss: 0.4838 - acc: 0.7588
100/102 [============================>.] - ETA: 0s - loss: 0.4820 - acc: 0.7598
102/102 [==============================] - 0s 3ms/step - loss: 0.4812 - acc: 0.7601
102/102 [==============================] - 1s 5ms/step - loss: 0.4812 - acc: 0.7601 - val_loss: 0.4726 - val_acc: 0.7691
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.5688 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.4888 - acc: 0.7624
36/102 [=========>....................] - ETA: 0s - loss: 0.4841 - acc: 0.7561
54/102 [==============>...............] - ETA: 0s - loss: 0.4835 - acc: 0.7611
70/102 [===================>..........] - ETA: 0s - loss: 0.4845 - acc: 0.7617
87/102 [========================>.....] - ETA: 0s - loss: 0.4824 - acc: 0.7575
99/102 [============================>.] - ETA: 0s - loss: 0.4833 - acc: 0.7590
102/102 [==============================] - 0s 3ms/step - loss: 0.4838 - acc: 0.7587
102/102 [==============================] - 1s 6ms/step - loss: 0.4838 - acc: 0.7587 - val_loss: 0.4574 - val_acc: 0.7798
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.5982 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.4877 - acc: 0.7718
35/102 [=========>....................] - ETA: 0s - loss: 0.4724 - acc: 0.7703
52/102 [==============>...............] - ETA: 0s - loss: 0.4912 - acc: 0.7577
69/102 [===================>..........] - ETA: 0s - loss: 0.4848 - acc: 0.7600
88/102 [========================>.....] - ETA: 0s - loss: 0.4834 - acc: 0.7595
102/102 [==============================] - 0s 3ms/step - loss: 0.4856 - acc: 0.7583
102/102 [==============================] - 1s 5ms/step - loss: 0.4856 - acc: 0.7583 - val_loss: 0.5067 - val_acc: 0.7549
Epoch 17/30
1/102 [..............................] - ETA: 0s - loss: 0.3896 - acc: 0.8200
17/102 [====>.........................] - ETA: 0s - loss: 0.5381 - acc: 0.7071
34/102 [=========>....................] - ETA: 0s - loss: 0.5010 - acc: 0.7441
46/102 [============>.................] - ETA: 0s - loss: 0.4961 - acc: 0.7422
63/102 [=================>............] - ETA: 0s - loss: 0.4943 - acc: 0.7470
76/102 [=====================>........] - ETA: 0s - loss: 0.4913 - acc: 0.7532
92/102 [==========================>...] - ETA: 0s - loss: 0.4852 - acc: 0.7524
102/102 [==============================] - 0s 4ms/step - loss: 0.4869 - acc: 0.7518
102/102 [==============================] - 1s 6ms/step - loss: 0.4869 - acc: 0.7518 - val_loss: 0.4782 - val_acc: 0.7673
Epoch 18/30
1/102 [..............................] - ETA: 0s - loss: 0.4043 - acc: 0.8800
16/102 [===>..........................] - ETA: 0s - loss: 0.5096 - acc: 0.7475
34/102 [=========>....................] - ETA: 0s - loss: 0.4885 - acc: 0.7547
42/102 [===========>..................] - ETA: 0s - loss: 0.4863 - acc: 0.7524
53/102 [==============>...............] - ETA: 0s - loss: 0.4874 - acc: 0.7547
63/102 [=================>............] - ETA: 0s - loss: 0.4832 - acc: 0.7600
81/102 [======================>.......] - ETA: 0s - loss: 0.4759 - acc: 0.7607
99/102 [============================>.] - ETA: 0s - loss: 0.4830 - acc: 0.7564
102/102 [==============================] - 0s 4ms/step - loss: 0.4823 - acc: 0.7560
102/102 [==============================] - 1s 7ms/step - loss: 0.4823 - acc: 0.7560 - val_loss: 0.4814 - val_acc: 0.7673
Epoch 19/30
1/102 [..............................] - ETA: 0s - loss: 0.4055 - acc: 0.8600
17/102 [====>.........................] - ETA: 0s - loss: 0.4687 - acc: 0.7659
31/102 [========>.....................] - ETA: 0s - loss: 0.4789 - acc: 0.7645
48/102 [=============>................] - ETA: 0s - loss: 0.4852 - acc: 0.7521
63/102 [=================>............] - ETA: 0s - loss: 0.4781 - acc: 0.7556
80/102 [======================>.......] - ETA: 0s - loss: 0.4780 - acc: 0.7610
98/102 [===========================>..] - ETA: 0s - loss: 0.4782 - acc: 0.7602
102/102 [==============================] - 0s 3ms/step - loss: 0.4771 - acc: 0.7613
102/102 [==============================] - 1s 5ms/step - loss: 0.4771 - acc: 0.7613 - val_loss: 0.4780 - val_acc: 0.7567
Epoch 20/30
1/102 [..............................] - ETA: 0s - loss: 0.4458 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.4657 - acc: 0.7835
36/102 [=========>....................] - ETA: 0s - loss: 0.4907 - acc: 0.7600
54/102 [==============>...............] - ETA: 0s - loss: 0.4849 - acc: 0.7685
71/102 [===================>..........] - ETA: 0s - loss: 0.4873 - acc: 0.7606
89/102 [=========================>....] - ETA: 0s - loss: 0.4817 - acc: 0.7661
102/102 [==============================] - 0s 3ms/step - loss: 0.4807 - acc: 0.7652
102/102 [==============================] - 1s 6ms/step - loss: 0.4807 - acc: 0.7652 - val_loss: 0.4802 - val_acc: 0.7691
Epoch 21/30
1/102 [..............................] - ETA: 0s - loss: 0.6453 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.4859 - acc: 0.7647
34/102 [=========>....................] - ETA: 0s - loss: 0.4567 - acc: 0.7771
51/102 [==============>...............] - ETA: 0s - loss: 0.4703 - acc: 0.7769
67/102 [==================>...........] - ETA: 0s - loss: 0.4698 - acc: 0.7740
85/102 [========================>.....] - ETA: 0s - loss: 0.4738 - acc: 0.7685
102/102 [==============================] - 0s 3ms/step - loss: 0.4816 - acc: 0.7638
102/102 [==============================] - 1s 5ms/step - loss: 0.4816 - acc: 0.7638 - val_loss: 0.5080 - val_acc: 0.7513
Epoch 22/30
1/102 [..............................] - ETA: 0s - loss: 0.3567 - acc: 0.8200
18/102 [====>.........................] - ETA: 0s - loss: 0.4551 - acc: 0.7556
35/102 [=========>....................] - ETA: 0s - loss: 0.4798 - acc: 0.7543
47/102 [============>.................] - ETA: 0s - loss: 0.4797 - acc: 0.7574
63/102 [=================>............] - ETA: 0s - loss: 0.4818 - acc: 0.7565
78/102 [=====================>........] - ETA: 0s - loss: 0.4790 - acc: 0.7590
94/102 [==========================>...] - ETA: 0s - loss: 0.4820 - acc: 0.7557
102/102 [==============================] - 0s 4ms/step - loss: 0.4821 - acc: 0.7575
102/102 [==============================] - 1s 6ms/step - loss: 0.4821 - acc: 0.7575 - val_loss: 0.4760 - val_acc: 0.7602
Epoch 23/30
1/102 [..............................] - ETA: 0s - loss: 0.3787 - acc: 0.8600
18/102 [====>.........................] - ETA: 0s - loss: 0.4711 - acc: 0.7644
36/102 [=========>....................] - ETA: 0s - loss: 0.4652 - acc: 0.7628
50/102 [=============>................] - ETA: 0s - loss: 0.4720 - acc: 0.7588
66/102 [==================>...........] - ETA: 0s - loss: 0.4787 - acc: 0.7576
83/102 [=======================>......] - ETA: 0s - loss: 0.4820 - acc: 0.7559
101/102 [============================>.] - ETA: 0s - loss: 0.4789 - acc: 0.7586
102/102 [==============================] - 0s 3ms/step - loss: 0.4787 - acc: 0.7587
102/102 [==============================] - 1s 5ms/step - loss: 0.4787 - acc: 0.7587 - val_loss: 0.4851 - val_acc: 0.7584
Epoch 24/30
1/102 [..............................] - ETA: 0s - loss: 0.4659 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.4701 - acc: 0.7650
33/102 [========>.....................] - ETA: 0s - loss: 0.4657 - acc: 0.7764
51/102 [==============>...............] - ETA: 0s - loss: 0.4831 - acc: 0.7576
67/102 [==================>...........] - ETA: 0s - loss: 0.4818 - acc: 0.7597
85/102 [========================>.....] - ETA: 0s - loss: 0.4844 - acc: 0.7544
102/102 [==============================] - 0s 3ms/step - loss: 0.4814 - acc: 0.7564
102/102 [==============================] - 1s 7ms/step - loss: 0.4814 - acc: 0.7564 - val_loss: 0.4704 - val_acc: 0.7762
Epoch 25/30
1/102 [..............................] - ETA: 0s - loss: 0.3703 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.4513 - acc: 0.7656
35/102 [=========>....................] - ETA: 0s - loss: 0.4736 - acc: 0.7663
53/102 [==============>...............] - ETA: 0s - loss: 0.4743 - acc: 0.7638
70/102 [===================>..........] - ETA: 0s - loss: 0.4750 - acc: 0.7611
88/102 [========================>.....] - ETA: 0s - loss: 0.4751 - acc: 0.7627
98/102 [===========================>..] - ETA: 0s - loss: 0.4788 - acc: 0.7624
102/102 [==============================] - 0s 3ms/step - loss: 0.4807 - acc: 0.7621
102/102 [==============================] - 1s 6ms/step - loss: 0.4807 - acc: 0.7621 - val_loss: 0.4810 - val_acc: 0.7691
Run completed: runs/2024-05-06T19-36-52Z
Training run 11/52 (flags = list(32, 32, 0.01, 20, 30, "relu", "relu", 0.2, 0.5))
Using run directory runs/2024-05-06T19-37-14Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 5:05 - loss: 0.8126 - acc: 0.7000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0290s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0290s). Check your callbacks.
21/254 [=>............................] - ETA: 0s - loss: 0.7607 - acc: 0.5952
39/254 [===>..........................] - ETA: 0s - loss: 0.7262 - acc: 0.5859
44/254 [====>.........................] - ETA: 0s - loss: 0.7205 - acc: 0.5886
61/254 [======>.......................] - ETA: 0s - loss: 0.6948 - acc: 0.6123
80/254 [========>.....................] - ETA: 0s - loss: 0.6753 - acc: 0.6187
101/254 [==========>...................] - ETA: 0s - loss: 0.6547 - acc: 0.6381
121/254 [=============>................] - ETA: 0s - loss: 0.6469 - acc: 0.6496
139/254 [===============>..............] - ETA: 0s - loss: 0.6347 - acc: 0.6597
158/254 [=================>............] - ETA: 0s - loss: 0.6292 - acc: 0.6665
177/254 [===================>..........] - ETA: 0s - loss: 0.6183 - acc: 0.6737
195/254 [======================>.......] - ETA: 0s - loss: 0.6156 - acc: 0.6744
213/254 [========================>.....] - ETA: 0s - loss: 0.6103 - acc: 0.6782
232/254 [==========================>...] - ETA: 0s - loss: 0.6036 - acc: 0.6845
253/254 [============================>.] - ETA: 0s - loss: 0.6012 - acc: 0.6881
254/254 [==============================] - 2s 3ms/step - loss: 0.6009 - acc: 0.6885
254/254 [==============================] - 3s 6ms/step - loss: 0.6009 - acc: 0.6885 - val_loss: 0.4995 - val_acc: 0.7300
Epoch 2/30
1/254 [..............................] - ETA: 1s - loss: 0.4354 - acc: 0.7500
16/254 [>.............................] - ETA: 0s - loss: 0.4772 - acc: 0.7563
33/254 [==>...........................] - ETA: 0s - loss: 0.5178 - acc: 0.7364
53/254 [=====>........................] - ETA: 0s - loss: 0.5198 - acc: 0.7226
70/254 [=======>......................] - ETA: 0s - loss: 0.5202 - acc: 0.7279
86/254 [=========>....................] - ETA: 0s - loss: 0.5413 - acc: 0.7192
105/254 [===========>..................] - ETA: 0s - loss: 0.5371 - acc: 0.7210
117/254 [============>.................] - ETA: 0s - loss: 0.5457 - acc: 0.7132
131/254 [==============>...............] - ETA: 0s - loss: 0.5460 - acc: 0.7073
149/254 [================>.............] - ETA: 0s - loss: 0.5431 - acc: 0.7111
169/254 [==================>...........] - ETA: 0s - loss: 0.5387 - acc: 0.7157
183/254 [====================>.........] - ETA: 0s - loss: 0.5411 - acc: 0.7210
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254/254 [==============================] - 1s 3ms/step - loss: 0.5295 - acc: 0.7248
254/254 [==============================] - 1s 4ms/step - loss: 0.5295 - acc: 0.7248 - val_loss: 0.4773 - val_acc: 0.7549
Epoch 3/30
1/254 [..............................] - ETA: 0s - loss: 0.4446 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.5235 - acc: 0.7368
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149/254 [================>.............] - ETA: 0s - loss: 0.5075 - acc: 0.7470
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246/254 [============================>.] - ETA: 0s - loss: 0.5147 - acc: 0.7374
254/254 [==============================] - 1s 3ms/step - loss: 0.5148 - acc: 0.7376
254/254 [==============================] - 1s 5ms/step - loss: 0.5148 - acc: 0.7376 - val_loss: 0.5041 - val_acc: 0.7371
Epoch 4/30
1/254 [..............................] - ETA: 1s - loss: 0.4532 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.4776 - acc: 0.7684
39/254 [===>..........................] - ETA: 0s - loss: 0.4850 - acc: 0.7641
56/254 [=====>........................] - ETA: 0s - loss: 0.4799 - acc: 0.7607
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91/254 [=========>....................] - ETA: 0s - loss: 0.4806 - acc: 0.7593
108/254 [===========>..................] - ETA: 0s - loss: 0.4883 - acc: 0.7579
127/254 [==============>...............] - ETA: 0s - loss: 0.4882 - acc: 0.7543
146/254 [================>.............] - ETA: 0s - loss: 0.4943 - acc: 0.7510
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181/254 [====================>.........] - ETA: 0s - loss: 0.5014 - acc: 0.7475
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216/254 [========================>.....] - ETA: 0s - loss: 0.5028 - acc: 0.7456
235/254 [==========================>...] - ETA: 0s - loss: 0.5071 - acc: 0.7419
253/254 [============================>.] - ETA: 0s - loss: 0.5078 - acc: 0.7423
254/254 [==============================] - 1s 3ms/step - loss: 0.5082 - acc: 0.7414
254/254 [==============================] - 1s 4ms/step - loss: 0.5082 - acc: 0.7414 - val_loss: 0.4875 - val_acc: 0.7602
Epoch 5/30
1/254 [..............................] - ETA: 0s - loss: 0.6468 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4724 - acc: 0.7500
38/254 [===>..........................] - ETA: 0s - loss: 0.4833 - acc: 0.7579
55/254 [=====>........................] - ETA: 0s - loss: 0.4803 - acc: 0.7500
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84/254 [========>.....................] - ETA: 0s - loss: 0.4831 - acc: 0.7548
100/254 [==========>...................] - ETA: 0s - loss: 0.4935 - acc: 0.7530
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135/254 [==============>...............] - ETA: 0s - loss: 0.4914 - acc: 0.7496
155/254 [=================>............] - ETA: 0s - loss: 0.4939 - acc: 0.7474
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188/254 [=====================>........] - ETA: 0s - loss: 0.4928 - acc: 0.7471
207/254 [=======================>......] - ETA: 0s - loss: 0.4957 - acc: 0.7452
225/254 [=========================>....] - ETA: 0s - loss: 0.4978 - acc: 0.7451
245/254 [===========================>..] - ETA: 0s - loss: 0.4969 - acc: 0.7459
254/254 [==============================] - 1s 3ms/step - loss: 0.4993 - acc: 0.7443
254/254 [==============================] - 1s 4ms/step - loss: 0.4993 - acc: 0.7443 - val_loss: 0.4826 - val_acc: 0.7691
Epoch 6/30
1/254 [..............................] - ETA: 0s - loss: 0.4750 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4387 - acc: 0.7947
39/254 [===>..........................] - ETA: 0s - loss: 0.4594 - acc: 0.7769
47/254 [====>.........................] - ETA: 0s - loss: 0.4790 - acc: 0.7755
57/254 [=====>........................] - ETA: 0s - loss: 0.4856 - acc: 0.7763
72/254 [=======>......................] - ETA: 0s - loss: 0.4928 - acc: 0.7660
90/254 [=========>....................] - ETA: 0s - loss: 0.4897 - acc: 0.7661
109/254 [===========>..................] - ETA: 0s - loss: 0.5038 - acc: 0.7541
129/254 [==============>...............] - ETA: 0s - loss: 0.4962 - acc: 0.7535
147/254 [================>.............] - ETA: 0s - loss: 0.4960 - acc: 0.7551
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185/254 [====================>.........] - ETA: 0s - loss: 0.5006 - acc: 0.7522
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223/254 [=========================>....] - ETA: 0s - loss: 0.4971 - acc: 0.7531
242/254 [===========================>..] - ETA: 0s - loss: 0.4946 - acc: 0.7550
254/254 [==============================] - 1s 3ms/step - loss: 0.4930 - acc: 0.7550
254/254 [==============================] - 1s 4ms/step - loss: 0.4930 - acc: 0.7550 - val_loss: 0.4703 - val_acc: 0.7726
Epoch 7/30
1/254 [..............................] - ETA: 1s - loss: 0.4607 - acc: 0.7500
12/254 [>.............................] - ETA: 1s - loss: 0.4680 - acc: 0.7792
31/254 [==>...........................] - ETA: 0s - loss: 0.4752 - acc: 0.7565
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109/254 [===========>..................] - ETA: 0s - loss: 0.5041 - acc: 0.7472
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254/254 [==============================] - 1s 3ms/step - loss: 0.5042 - acc: 0.7481
254/254 [==============================] - 1s 4ms/step - loss: 0.5042 - acc: 0.7481 - val_loss: 0.4892 - val_acc: 0.7602
Epoch 8/30
1/254 [..............................] - ETA: 2s - loss: 0.6181 - acc: 0.4000
16/254 [>.............................] - ETA: 0s - loss: 0.5072 - acc: 0.7375
29/254 [==>...........................] - ETA: 0s - loss: 0.5105 - acc: 0.7397
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241/254 [===========================>..] - ETA: 0s - loss: 0.5015 - acc: 0.7473
254/254 [==============================] - 1s 3ms/step - loss: 0.4978 - acc: 0.7493
254/254 [==============================] - 1s 4ms/step - loss: 0.4978 - acc: 0.7493 - val_loss: 0.4790 - val_acc: 0.7638
Epoch 9/30
1/254 [..............................] - ETA: 0s - loss: 0.3890 - acc: 0.8000
5/254 [..............................] - ETA: 4s - loss: 0.5469 - acc: 0.7600
24/254 [=>............................] - ETA: 1s - loss: 0.4977 - acc: 0.7729
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235/254 [==========================>...] - ETA: 0s - loss: 0.4941 - acc: 0.7519
253/254 [============================>.] - ETA: 0s - loss: 0.4910 - acc: 0.7536
254/254 [==============================] - 1s 3ms/step - loss: 0.4904 - acc: 0.7538
254/254 [==============================] - 1s 4ms/step - loss: 0.4904 - acc: 0.7538 - val_loss: 0.4769 - val_acc: 0.7655
Epoch 10/30
1/254 [..............................] - ETA: 0s - loss: 0.4350 - acc: 0.8500
20/254 [=>............................] - ETA: 0s - loss: 0.5697 - acc: 0.7500
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155/254 [=================>............] - ETA: 0s - loss: 0.4976 - acc: 0.7571
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246/254 [============================>.] - ETA: 0s - loss: 0.4939 - acc: 0.7545
254/254 [==============================] - 1s 3ms/step - loss: 0.4937 - acc: 0.7534
254/254 [==============================] - 1s 4ms/step - loss: 0.4937 - acc: 0.7534 - val_loss: 0.4811 - val_acc: 0.7638
Epoch 11/30
1/254 [..............................] - ETA: 0s - loss: 0.2990 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.5049 - acc: 0.7353
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182/254 [====================>.........] - ETA: 0s - loss: 0.4860 - acc: 0.7511
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219/254 [========================>.....] - ETA: 0s - loss: 0.4852 - acc: 0.7539
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254/254 [==============================] - 1s 3ms/step - loss: 0.4860 - acc: 0.7554
254/254 [==============================] - 1s 4ms/step - loss: 0.4860 - acc: 0.7554 - val_loss: 0.4999 - val_acc: 0.7460
Epoch 12/30
1/254 [..............................] - ETA: 0s - loss: 0.6007 - acc: 0.6500
20/254 [=>............................] - ETA: 0s - loss: 0.5013 - acc: 0.7475
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111/254 [============>.................] - ETA: 0s - loss: 0.4702 - acc: 0.7689
127/254 [==============>...............] - ETA: 0s - loss: 0.4683 - acc: 0.7661
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216/254 [========================>.....] - ETA: 0s - loss: 0.4769 - acc: 0.7616
234/254 [==========================>...] - ETA: 0s - loss: 0.4822 - acc: 0.7577
251/254 [============================>.] - ETA: 0s - loss: 0.4841 - acc: 0.7558
254/254 [==============================] - 1s 3ms/step - loss: 0.4841 - acc: 0.7554
254/254 [==============================] - 1s 4ms/step - loss: 0.4841 - acc: 0.7554 - val_loss: 0.5096 - val_acc: 0.7425
Epoch 13/30
1/254 [..............................] - ETA: 0s - loss: 0.3311 - acc: 0.8500
20/254 [=>............................] - ETA: 0s - loss: 0.4752 - acc: 0.7325
40/254 [===>..........................] - ETA: 0s - loss: 0.4874 - acc: 0.7375
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134/254 [==============>...............] - ETA: 0s - loss: 0.4832 - acc: 0.7608
151/254 [================>.............] - ETA: 0s - loss: 0.4791 - acc: 0.7652
170/254 [===================>..........] - ETA: 0s - loss: 0.4832 - acc: 0.7647
190/254 [=====================>........] - ETA: 0s - loss: 0.4831 - acc: 0.7653
207/254 [=======================>......] - ETA: 0s - loss: 0.4856 - acc: 0.7626
225/254 [=========================>....] - ETA: 0s - loss: 0.4886 - acc: 0.7618
245/254 [===========================>..] - ETA: 0s - loss: 0.4908 - acc: 0.7588
254/254 [==============================] - 1s 3ms/step - loss: 0.4897 - acc: 0.7585
254/254 [==============================] - 1s 4ms/step - loss: 0.4897 - acc: 0.7585 - val_loss: 0.4990 - val_acc: 0.7371
Epoch 14/30
1/254 [..............................] - ETA: 0s - loss: 0.4894 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.4954 - acc: 0.7382
35/254 [===>..........................] - ETA: 0s - loss: 0.5025 - acc: 0.7600
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144/254 [================>.............] - ETA: 0s - loss: 0.4826 - acc: 0.7583
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216/254 [========================>.....] - ETA: 0s - loss: 0.4837 - acc: 0.7569
236/254 [==========================>...] - ETA: 0s - loss: 0.4861 - acc: 0.7538
254/254 [==============================] - 1s 3ms/step - loss: 0.4826 - acc: 0.7562
254/254 [==============================] - 1s 4ms/step - loss: 0.4826 - acc: 0.7562 - val_loss: 0.4885 - val_acc: 0.7478
Epoch 15/30
1/254 [..............................] - ETA: 0s - loss: 0.3796 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.4724 - acc: 0.7647
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139/254 [===============>..............] - ETA: 0s - loss: 0.4655 - acc: 0.7637
159/254 [=================>............] - ETA: 0s - loss: 0.4722 - acc: 0.7597
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211/254 [=======================>......] - ETA: 0s - loss: 0.4816 - acc: 0.7547
229/254 [==========================>...] - ETA: 0s - loss: 0.4797 - acc: 0.7533
249/254 [============================>.] - ETA: 0s - loss: 0.4776 - acc: 0.7550
254/254 [==============================] - 1s 3ms/step - loss: 0.4790 - acc: 0.7544
254/254 [==============================] - 1s 4ms/step - loss: 0.4790 - acc: 0.7544 - val_loss: 0.4805 - val_acc: 0.7673
Epoch 16/30
1/254 [..............................] - ETA: 0s - loss: 0.4276 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4896 - acc: 0.7306
36/254 [===>..........................] - ETA: 0s - loss: 0.5093 - acc: 0.7361
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131/254 [==============>...............] - ETA: 0s - loss: 0.4716 - acc: 0.7531
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168/254 [==================>...........] - ETA: 0s - loss: 0.4704 - acc: 0.7601
187/254 [=====================>........] - ETA: 0s - loss: 0.4762 - acc: 0.7596
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226/254 [=========================>....] - ETA: 0s - loss: 0.4819 - acc: 0.7584
245/254 [===========================>..] - ETA: 0s - loss: 0.4808 - acc: 0.7571
254/254 [==============================] - 1s 3ms/step - loss: 0.4793 - acc: 0.7573
254/254 [==============================] - 1s 4ms/step - loss: 0.4793 - acc: 0.7573 - val_loss: 0.4786 - val_acc: 0.7691
Run completed: runs/2024-05-06T19-37-14Z
Training run 12/52 (flags = list(64, 16, 0.001, 50, 30, "relu", "relu", 0.5, 0.5))
Using run directory runs/2024-05-06T19-37-33Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:30 - loss: 0.5569 - acc: 0.6600
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0024s vs `on_train_batch_end` time: 0.0783s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0024s vs `on_train_batch_end` time: 0.0783s). Check your callbacks.
16/102 [===>..........................] - ETA: 0s - loss: 0.6615 - acc: 0.6350
33/102 [========>.....................] - ETA: 0s - loss: 0.6774 - acc: 0.6236
50/102 [=============>................] - ETA: 0s - loss: 0.6574 - acc: 0.6276
64/102 [=================>............] - ETA: 0s - loss: 0.6556 - acc: 0.6278
79/102 [======================>.......] - ETA: 0s - loss: 0.6506 - acc: 0.6314
97/102 [===========================>..] - ETA: 0s - loss: 0.6412 - acc: 0.6384
102/102 [==============================] - 2s 3ms/step - loss: 0.6380 - acc: 0.6395
102/102 [==============================] - 3s 11ms/step - loss: 0.6380 - acc: 0.6395 - val_loss: 0.5383 - val_acc: 0.7140
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.6455 - acc: 0.6200
13/102 [==>...........................] - ETA: 0s - loss: 0.6275 - acc: 0.6385
18/102 [====>.........................] - ETA: 0s - loss: 0.6049 - acc: 0.6533
34/102 [=========>....................] - ETA: 0s - loss: 0.5925 - acc: 0.6618
49/102 [=============>................] - ETA: 0s - loss: 0.5824 - acc: 0.6641
55/102 [===============>..............] - ETA: 0s - loss: 0.5791 - acc: 0.6676
71/102 [===================>..........] - ETA: 0s - loss: 0.5746 - acc: 0.6738
81/102 [======================>.......] - ETA: 0s - loss: 0.5765 - acc: 0.6758
97/102 [===========================>..] - ETA: 0s - loss: 0.5733 - acc: 0.6759
102/102 [==============================] - 1s 5ms/step - loss: 0.5713 - acc: 0.6769
102/102 [==============================] - 1s 7ms/step - loss: 0.5713 - acc: 0.6769 - val_loss: 0.5154 - val_acc: 0.7265
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.4559 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5315 - acc: 0.6953
30/102 [=======>......................] - ETA: 0s - loss: 0.5392 - acc: 0.7067
46/102 [============>.................] - ETA: 0s - loss: 0.5422 - acc: 0.7043
61/102 [================>.............] - ETA: 0s - loss: 0.5425 - acc: 0.7072
75/102 [=====================>........] - ETA: 0s - loss: 0.5392 - acc: 0.7091
92/102 [==========================>...] - ETA: 0s - loss: 0.5463 - acc: 0.7037
102/102 [==============================] - 0s 3ms/step - loss: 0.5432 - acc: 0.7043
102/102 [==============================] - 1s 6ms/step - loss: 0.5432 - acc: 0.7043 - val_loss: 0.5005 - val_acc: 0.7353
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.6360 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.5343 - acc: 0.7153
35/102 [=========>....................] - ETA: 0s - loss: 0.5198 - acc: 0.7183
51/102 [==============>...............] - ETA: 0s - loss: 0.5208 - acc: 0.7200
55/102 [===============>..............] - ETA: 0s - loss: 0.5186 - acc: 0.7204
68/102 [===================>..........] - ETA: 0s - loss: 0.5151 - acc: 0.7235
85/102 [========================>.....] - ETA: 0s - loss: 0.5147 - acc: 0.7282
101/102 [============================>.] - ETA: 0s - loss: 0.5181 - acc: 0.7269
102/102 [==============================] - 0s 4ms/step - loss: 0.5179 - acc: 0.7274
102/102 [==============================] - 1s 7ms/step - loss: 0.5179 - acc: 0.7274 - val_loss: 0.4906 - val_acc: 0.7460
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.6030 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.5069 - acc: 0.7233
35/102 [=========>....................] - ETA: 0s - loss: 0.5138 - acc: 0.7229
52/102 [==============>...............] - ETA: 0s - loss: 0.5095 - acc: 0.7185
69/102 [===================>..........] - ETA: 0s - loss: 0.5108 - acc: 0.7267
85/102 [========================>.....] - ETA: 0s - loss: 0.5138 - acc: 0.7233
102/102 [==============================] - 0s 3ms/step - loss: 0.5200 - acc: 0.7250
102/102 [==============================] - 1s 5ms/step - loss: 0.5200 - acc: 0.7250 - val_loss: 0.5011 - val_acc: 0.7318
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.6501 - acc: 0.7000
13/102 [==>...........................] - ETA: 0s - loss: 0.5309 - acc: 0.7292
32/102 [========>.....................] - ETA: 0s - loss: 0.5255 - acc: 0.7163
49/102 [=============>................] - ETA: 0s - loss: 0.5289 - acc: 0.7135
67/102 [==================>...........] - ETA: 0s - loss: 0.5324 - acc: 0.7066
83/102 [=======================>......] - ETA: 0s - loss: 0.5266 - acc: 0.7096
98/102 [===========================>..] - ETA: 0s - loss: 0.5225 - acc: 0.7143
102/102 [==============================] - 0s 3ms/step - loss: 0.5210 - acc: 0.7159
102/102 [==============================] - 1s 6ms/step - loss: 0.5210 - acc: 0.7159 - val_loss: 0.4924 - val_acc: 0.7442
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.5832 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5419 - acc: 0.7200
35/102 [=========>....................] - ETA: 0s - loss: 0.5069 - acc: 0.7160
52/102 [==============>...............] - ETA: 0s - loss: 0.5041 - acc: 0.7258
69/102 [===================>..........] - ETA: 0s - loss: 0.5133 - acc: 0.7258
87/102 [========================>.....] - ETA: 0s - loss: 0.5137 - acc: 0.7255
96/102 [===========================>..] - ETA: 0s - loss: 0.5161 - acc: 0.7248
102/102 [==============================] - 0s 3ms/step - loss: 0.5125 - acc: 0.7290
102/102 [==============================] - 1s 7ms/step - loss: 0.5125 - acc: 0.7290 - val_loss: 0.4992 - val_acc: 0.7336
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.5277 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.5023 - acc: 0.7378
32/102 [========>.....................] - ETA: 0s - loss: 0.5017 - acc: 0.7425
38/102 [==========>...................] - ETA: 0s - loss: 0.5064 - acc: 0.7447
57/102 [===============>..............] - ETA: 0s - loss: 0.5153 - acc: 0.7358
72/102 [====================>.........] - ETA: 0s - loss: 0.5136 - acc: 0.7372
88/102 [========================>.....] - ETA: 0s - loss: 0.5151 - acc: 0.7336
102/102 [==============================] - 0s 4ms/step - loss: 0.5181 - acc: 0.7292
102/102 [==============================] - 1s 7ms/step - loss: 0.5181 - acc: 0.7292 - val_loss: 0.4968 - val_acc: 0.7442
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.4898 - acc: 0.7800
14/102 [===>..........................] - ETA: 0s - loss: 0.5378 - acc: 0.7114
32/102 [========>.....................] - ETA: 0s - loss: 0.5175 - acc: 0.7069
40/102 [==========>...................] - ETA: 0s - loss: 0.5204 - acc: 0.7095
52/102 [==============>...............] - ETA: 0s - loss: 0.5278 - acc: 0.7100
68/102 [===================>..........] - ETA: 0s - loss: 0.5158 - acc: 0.7182
85/102 [========================>.....] - ETA: 0s - loss: 0.5172 - acc: 0.7188
102/102 [==============================] - 0s 4ms/step - loss: 0.5114 - acc: 0.7264
102/102 [==============================] - 1s 6ms/step - loss: 0.5114 - acc: 0.7264 - val_loss: 0.4895 - val_acc: 0.7442
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.5907 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.5015 - acc: 0.7422
36/102 [=========>....................] - ETA: 0s - loss: 0.5051 - acc: 0.7439
53/102 [==============>...............] - ETA: 0s - loss: 0.5124 - acc: 0.7423
70/102 [===================>..........] - ETA: 0s - loss: 0.5112 - acc: 0.7417
88/102 [========================>.....] - ETA: 0s - loss: 0.5127 - acc: 0.7391
102/102 [==============================] - 0s 3ms/step - loss: 0.5105 - acc: 0.7368
102/102 [==============================] - 1s 6ms/step - loss: 0.5105 - acc: 0.7368 - val_loss: 0.4830 - val_acc: 0.7567
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.5721 - acc: 0.6600
18/102 [====>.........................] - ETA: 0s - loss: 0.5325 - acc: 0.7333
36/102 [=========>....................] - ETA: 0s - loss: 0.5271 - acc: 0.7439
54/102 [==============>...............] - ETA: 0s - loss: 0.5253 - acc: 0.7407
71/102 [===================>..........] - ETA: 0s - loss: 0.5148 - acc: 0.7386
89/102 [=========================>....] - ETA: 0s - loss: 0.5095 - acc: 0.7409
102/102 [==============================] - 0s 3ms/step - loss: 0.5102 - acc: 0.7400
102/102 [==============================] - 1s 5ms/step - loss: 0.5102 - acc: 0.7400 - val_loss: 0.4807 - val_acc: 0.7584
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.5377 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.5264 - acc: 0.7353
36/102 [=========>....................] - ETA: 0s - loss: 0.5155 - acc: 0.7289
53/102 [==============>...............] - ETA: 0s - loss: 0.5044 - acc: 0.7374
60/102 [================>.............] - ETA: 0s - loss: 0.5063 - acc: 0.7390
77/102 [=====================>........] - ETA: 0s - loss: 0.5021 - acc: 0.7345
94/102 [==========================>...] - ETA: 0s - loss: 0.5057 - acc: 0.7340
102/102 [==============================] - 0s 3ms/step - loss: 0.5042 - acc: 0.7366
102/102 [==============================] - 1s 6ms/step - loss: 0.5042 - acc: 0.7366 - val_loss: 0.4879 - val_acc: 0.7496
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.4667 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5019 - acc: 0.7356
36/102 [=========>....................] - ETA: 0s - loss: 0.5086 - acc: 0.7389
54/102 [==============>...............] - ETA: 0s - loss: 0.5127 - acc: 0.7367
71/102 [===================>..........] - ETA: 0s - loss: 0.5098 - acc: 0.7389
88/102 [========================>.....] - ETA: 0s - loss: 0.5040 - acc: 0.7370
102/102 [==============================] - 0s 3ms/step - loss: 0.5087 - acc: 0.7378
102/102 [==============================] - 1s 6ms/step - loss: 0.5087 - acc: 0.7378 - val_loss: 0.4792 - val_acc: 0.7620
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.3927 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.5367 - acc: 0.7163
33/102 [========>.....................] - ETA: 0s - loss: 0.5058 - acc: 0.7345
43/102 [===========>..................] - ETA: 0s - loss: 0.4907 - acc: 0.7442
62/102 [=================>............] - ETA: 0s - loss: 0.4939 - acc: 0.7426
80/102 [======================>.......] - ETA: 0s - loss: 0.4993 - acc: 0.7440
98/102 [===========================>..] - ETA: 0s - loss: 0.4977 - acc: 0.7437
102/102 [==============================] - 0s 3ms/step - loss: 0.4960 - acc: 0.7437
102/102 [==============================] - 1s 6ms/step - loss: 0.4960 - acc: 0.7437 - val_loss: 0.4887 - val_acc: 0.7496
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.5241 - acc: 0.6600
13/102 [==>...........................] - ETA: 0s - loss: 0.5018 - acc: 0.7508
31/102 [========>.....................] - ETA: 0s - loss: 0.5139 - acc: 0.7406
48/102 [=============>................] - ETA: 0s - loss: 0.5115 - acc: 0.7358
65/102 [==================>...........] - ETA: 0s - loss: 0.5046 - acc: 0.7440
83/102 [=======================>......] - ETA: 0s - loss: 0.5019 - acc: 0.7496
101/102 [============================>.] - ETA: 0s - loss: 0.5000 - acc: 0.7491
102/102 [==============================] - 0s 3ms/step - loss: 0.4990 - acc: 0.7495
102/102 [==============================] - 1s 6ms/step - loss: 0.4990 - acc: 0.7495 - val_loss: 0.4872 - val_acc: 0.7567
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.2809 - acc: 0.8400
17/102 [====>.........................] - ETA: 0s - loss: 0.4990 - acc: 0.7741
36/102 [=========>....................] - ETA: 0s - loss: 0.4969 - acc: 0.7589
54/102 [==============>...............] - ETA: 0s - loss: 0.4936 - acc: 0.7644
70/102 [===================>..........] - ETA: 0s - loss: 0.4979 - acc: 0.7586
86/102 [========================>.....] - ETA: 0s - loss: 0.4970 - acc: 0.7586
102/102 [==============================] - 0s 3ms/step - loss: 0.5013 - acc: 0.7587
102/102 [==============================] - 1s 5ms/step - loss: 0.5013 - acc: 0.7587 - val_loss: 0.4897 - val_acc: 0.7549
Epoch 17/30
1/102 [..............................] - ETA: 0s - loss: 0.4929 - acc: 0.8200
18/102 [====>.........................] - ETA: 0s - loss: 0.5280 - acc: 0.7200
37/102 [=========>....................] - ETA: 0s - loss: 0.5200 - acc: 0.7335
55/102 [===============>..............] - ETA: 0s - loss: 0.5147 - acc: 0.7425
72/102 [====================>.........] - ETA: 0s - loss: 0.5132 - acc: 0.7400
89/102 [=========================>....] - ETA: 0s - loss: 0.5101 - acc: 0.7409
102/102 [==============================] - 0s 3ms/step - loss: 0.5026 - acc: 0.7441
102/102 [==============================] - 1s 5ms/step - loss: 0.5026 - acc: 0.7441 - val_loss: 0.4801 - val_acc: 0.7638
Epoch 18/30
1/102 [..............................] - ETA: 0s - loss: 0.4422 - acc: 0.8200
17/102 [====>.........................] - ETA: 0s - loss: 0.5590 - acc: 0.7494
27/102 [======>.......................] - ETA: 0s - loss: 0.5188 - acc: 0.7526
44/102 [===========>..................] - ETA: 0s - loss: 0.5174 - acc: 0.7432
59/102 [================>.............] - ETA: 0s - loss: 0.5175 - acc: 0.7454
76/102 [=====================>........] - ETA: 0s - loss: 0.5051 - acc: 0.7497
93/102 [==========================>...] - ETA: 0s - loss: 0.5058 - acc: 0.7503
102/102 [==============================] - 0s 3ms/step - loss: 0.5071 - acc: 0.7518
102/102 [==============================] - 1s 6ms/step - loss: 0.5071 - acc: 0.7518 - val_loss: 0.4835 - val_acc: 0.7655
Epoch 19/30
1/102 [..............................] - ETA: 0s - loss: 0.7095 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5343 - acc: 0.7322
28/102 [=======>......................] - ETA: 0s - loss: 0.5179 - acc: 0.7357
45/102 [============>.................] - ETA: 0s - loss: 0.5092 - acc: 0.7476
59/102 [================>.............] - ETA: 0s - loss: 0.5021 - acc: 0.7515
72/102 [====================>.........] - ETA: 0s - loss: 0.5030 - acc: 0.7514
88/102 [========================>.....] - ETA: 0s - loss: 0.4987 - acc: 0.7534
102/102 [==============================] - 0s 4ms/step - loss: 0.5017 - acc: 0.7538
102/102 [==============================] - 1s 6ms/step - loss: 0.5017 - acc: 0.7538 - val_loss: 0.4869 - val_acc: 0.7496
Epoch 20/30
1/102 [..............................] - ETA: 0s - loss: 0.3926 - acc: 0.7800
19/102 [====>.........................] - ETA: 0s - loss: 0.4864 - acc: 0.7463
38/102 [==========>...................] - ETA: 0s - loss: 0.4890 - acc: 0.7426
55/102 [===============>..............] - ETA: 0s - loss: 0.4820 - acc: 0.7444
73/102 [====================>.........] - ETA: 0s - loss: 0.4924 - acc: 0.7493
76/102 [=====================>........] - ETA: 0s - loss: 0.4939 - acc: 0.7508
82/102 [=======================>......] - ETA: 0s - loss: 0.4941 - acc: 0.7505
99/102 [============================>.] - ETA: 0s - loss: 0.4964 - acc: 0.7463
102/102 [==============================] - 0s 4ms/step - loss: 0.4955 - acc: 0.7455
102/102 [==============================] - 1s 10ms/step - loss: 0.4955 - acc: 0.7455 - val_loss: 0.4921 - val_acc: 0.7513
Epoch 21/30
1/102 [..............................] - ETA: 0s - loss: 0.5217 - acc: 0.7200
20/102 [====>.........................] - ETA: 0s - loss: 0.4916 - acc: 0.7480
30/102 [=======>......................] - ETA: 0s - loss: 0.5063 - acc: 0.7533
44/102 [===========>..................] - ETA: 0s - loss: 0.5092 - acc: 0.7395
52/102 [==============>...............] - ETA: 0s - loss: 0.5076 - acc: 0.7323
70/102 [===================>..........] - ETA: 0s - loss: 0.5073 - acc: 0.7326
80/102 [======================>.......] - ETA: 0s - loss: 0.5048 - acc: 0.7350
98/102 [===========================>..] - ETA: 0s - loss: 0.4947 - acc: 0.7392
102/102 [==============================] - 0s 4ms/step - loss: 0.4948 - acc: 0.7416
102/102 [==============================] - 1s 10ms/step - loss: 0.4948 - acc: 0.7416 - val_loss: 0.4723 - val_acc: 0.7655
Epoch 22/30
1/102 [..............................] - ETA: 0s - loss: 0.4193 - acc: 0.8000
12/102 [==>...........................] - ETA: 0s - loss: 0.4794 - acc: 0.7850
26/102 [======>.......................] - ETA: 0s - loss: 0.4997 - acc: 0.7708
44/102 [===========>..................] - ETA: 0s - loss: 0.4825 - acc: 0.7623
60/102 [================>.............] - ETA: 0s - loss: 0.4895 - acc: 0.7587
77/102 [=====================>........] - ETA: 0s - loss: 0.4855 - acc: 0.7569
95/102 [==========================>...] - ETA: 0s - loss: 0.4855 - acc: 0.7592
102/102 [==============================] - 0s 3ms/step - loss: 0.4883 - acc: 0.7585
102/102 [==============================] - 1s 6ms/step - loss: 0.4883 - acc: 0.7585 - val_loss: 0.4911 - val_acc: 0.7620
Epoch 23/30
1/102 [..............................] - ETA: 0s - loss: 0.5173 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.4932 - acc: 0.7506
34/102 [=========>....................] - ETA: 0s - loss: 0.4944 - acc: 0.7376
52/102 [==============>...............] - ETA: 0s - loss: 0.4855 - acc: 0.7485
68/102 [===================>..........] - ETA: 0s - loss: 0.4904 - acc: 0.7526
84/102 [=======================>......] - ETA: 0s - loss: 0.4947 - acc: 0.7552
102/102 [==============================] - 0s 3ms/step - loss: 0.4943 - acc: 0.7518
102/102 [==============================] - 1s 6ms/step - loss: 0.4943 - acc: 0.7518 - val_loss: 0.4791 - val_acc: 0.7691
Epoch 24/30
1/102 [..............................] - ETA: 0s - loss: 0.4853 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.4814 - acc: 0.7478
35/102 [=========>....................] - ETA: 0s - loss: 0.4932 - acc: 0.7434
52/102 [==============>...............] - ETA: 0s - loss: 0.4934 - acc: 0.7412
68/102 [===================>..........] - ETA: 0s - loss: 0.5038 - acc: 0.7382
72/102 [====================>.........] - ETA: 0s - loss: 0.4978 - acc: 0.7419
89/102 [=========================>....] - ETA: 0s - loss: 0.4934 - acc: 0.7465
102/102 [==============================] - 0s 4ms/step - loss: 0.4909 - acc: 0.7465
102/102 [==============================] - 1s 6ms/step - loss: 0.4909 - acc: 0.7465 - val_loss: 0.4930 - val_acc: 0.7620
Epoch 25/30
1/102 [..............................] - ETA: 0s - loss: 0.6586 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.5114 - acc: 0.7435
35/102 [=========>....................] - ETA: 0s - loss: 0.4769 - acc: 0.7549
53/102 [==============>...............] - ETA: 0s - loss: 0.4775 - acc: 0.7585
69/102 [===================>..........] - ETA: 0s - loss: 0.4820 - acc: 0.7594
87/102 [========================>.....] - ETA: 0s - loss: 0.4858 - acc: 0.7549
102/102 [==============================] - 0s 3ms/step - loss: 0.4859 - acc: 0.7530
102/102 [==============================] - 1s 5ms/step - loss: 0.4859 - acc: 0.7530 - val_loss: 0.4802 - val_acc: 0.7602
Epoch 26/30
1/102 [..............................] - ETA: 0s - loss: 0.3395 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.4962 - acc: 0.7635
31/102 [========>.....................] - ETA: 0s - loss: 0.5072 - acc: 0.7523
37/102 [=========>....................] - ETA: 0s - loss: 0.5163 - acc: 0.7551
55/102 [===============>..............] - ETA: 0s - loss: 0.5031 - acc: 0.7542
72/102 [====================>.........] - ETA: 0s - loss: 0.4988 - acc: 0.7564
87/102 [========================>.....] - ETA: 0s - loss: 0.4943 - acc: 0.7543
102/102 [==============================] - 0s 4ms/step - loss: 0.4905 - acc: 0.7562
102/102 [==============================] - 1s 7ms/step - loss: 0.4905 - acc: 0.7562 - val_loss: 0.4765 - val_acc: 0.7655
Epoch 27/30
1/102 [..............................] - ETA: 0s - loss: 0.5637 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.4806 - acc: 0.7622
37/102 [=========>....................] - ETA: 0s - loss: 0.4840 - acc: 0.7541
54/102 [==============>...............] - ETA: 0s - loss: 0.4989 - acc: 0.7522
71/102 [===================>..........] - ETA: 0s - loss: 0.4952 - acc: 0.7473
88/102 [========================>.....] - ETA: 0s - loss: 0.4851 - acc: 0.7527
102/102 [==============================] - 0s 3ms/step - loss: 0.4843 - acc: 0.7548
102/102 [==============================] - 1s 6ms/step - loss: 0.4843 - acc: 0.7548 - val_loss: 0.4795 - val_acc: 0.7602
Epoch 28/30
1/102 [..............................] - ETA: 0s - loss: 0.4582 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.4903 - acc: 0.7518
34/102 [=========>....................] - ETA: 0s - loss: 0.4745 - acc: 0.7535
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65/102 [==================>...........] - ETA: 0s - loss: 0.4822 - acc: 0.7569
83/102 [=======================>......] - ETA: 0s - loss: 0.4836 - acc: 0.7554
100/102 [============================>.] - ETA: 0s - loss: 0.4940 - acc: 0.7522
102/102 [==============================] - 0s 3ms/step - loss: 0.4918 - acc: 0.7530
102/102 [==============================] - 1s 6ms/step - loss: 0.4918 - acc: 0.7530 - val_loss: 0.4867 - val_acc: 0.7549
Epoch 29/30
1/102 [..............................] - ETA: 0s - loss: 0.4472 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.5046 - acc: 0.7306
36/102 [=========>....................] - ETA: 0s - loss: 0.4992 - acc: 0.7433
55/102 [===============>..............] - ETA: 0s - loss: 0.4977 - acc: 0.7465
62/102 [=================>............] - ETA: 0s - loss: 0.4949 - acc: 0.7477
76/102 [=====================>........] - ETA: 0s - loss: 0.4940 - acc: 0.7463
86/102 [========================>.....] - ETA: 0s - loss: 0.4906 - acc: 0.7495
102/102 [==============================] - 0s 4ms/step - loss: 0.4841 - acc: 0.7542
102/102 [==============================] - 1s 6ms/step - loss: 0.4841 - acc: 0.7542 - val_loss: 0.4832 - val_acc: 0.7691
Epoch 30/30
1/102 [..............................] - ETA: 0s - loss: 0.5634 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.4826 - acc: 0.7775
34/102 [=========>....................] - ETA: 0s - loss: 0.4671 - acc: 0.7753
53/102 [==============>...............] - ETA: 0s - loss: 0.4676 - acc: 0.7781
71/102 [===================>..........] - ETA: 0s - loss: 0.4761 - acc: 0.7741
88/102 [========================>.....] - ETA: 0s - loss: 0.4814 - acc: 0.7670
102/102 [==============================] - 0s 3ms/step - loss: 0.4899 - acc: 0.7642
102/102 [==============================] - 1s 5ms/step - loss: 0.4899 - acc: 0.7642 - val_loss: 0.4911 - val_acc: 0.7549
Run completed: runs/2024-05-06T19-37-33Z
Training run 13/52 (flags = list(64, 32, 0.01, 20, 50, "sigmoid", "sigmoid", 0.2, 0.2))
Using run directory runs/2024-05-06T19-37-55Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 4:54 - loss: 0.3856 - acc: 0.8500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0290s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0290s). Check your callbacks.
18/254 [=>............................] - ETA: 0s - loss: 0.7371 - acc: 0.6889
36/254 [===>..........................] - ETA: 0s - loss: 0.7152 - acc: 0.6250
54/254 [=====>........................] - ETA: 0s - loss: 0.7051 - acc: 0.6009
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108/254 [===========>..................] - ETA: 0s - loss: 0.6827 - acc: 0.5898
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233/254 [==========================>...] - ETA: 0s - loss: 0.6336 - acc: 0.6476
252/254 [============================>.] - ETA: 0s - loss: 0.6260 - acc: 0.6526
254/254 [==============================] - 2s 3ms/step - loss: 0.6252 - acc: 0.6533
254/254 [==============================] - 3s 6ms/step - loss: 0.6252 - acc: 0.6533 - val_loss: 0.5183 - val_acc: 0.7584
Epoch 2/50
1/254 [..............................] - ETA: 1s - loss: 0.4580 - acc: 0.9000
17/254 [=>............................] - ETA: 0s - loss: 0.5669 - acc: 0.7353
36/254 [===>..........................] - ETA: 0s - loss: 0.5373 - acc: 0.7500
43/254 [====>.........................] - ETA: 0s - loss: 0.5395 - acc: 0.7500
60/254 [======>.......................] - ETA: 0s - loss: 0.5417 - acc: 0.7317
78/254 [========>.....................] - ETA: 0s - loss: 0.5404 - acc: 0.7237
87/254 [=========>....................] - ETA: 0s - loss: 0.5393 - acc: 0.7264
106/254 [===========>..................] - ETA: 0s - loss: 0.5322 - acc: 0.7311
125/254 [=============>................] - ETA: 0s - loss: 0.5332 - acc: 0.7332
143/254 [===============>..............] - ETA: 0s - loss: 0.5297 - acc: 0.7339
158/254 [=================>............] - ETA: 0s - loss: 0.5240 - acc: 0.7361
175/254 [===================>..........] - ETA: 0s - loss: 0.5223 - acc: 0.7394
193/254 [=====================>........] - ETA: 0s - loss: 0.5255 - acc: 0.7347
208/254 [=======================>......] - ETA: 0s - loss: 0.5239 - acc: 0.7363
223/254 [=========================>....] - ETA: 0s - loss: 0.5221 - acc: 0.7372
239/254 [===========================>..] - ETA: 0s - loss: 0.5207 - acc: 0.7368
254/254 [==============================] - 1s 3ms/step - loss: 0.5170 - acc: 0.7374
254/254 [==============================] - 1s 4ms/step - loss: 0.5170 - acc: 0.7374 - val_loss: 0.4675 - val_acc: 0.7709
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.3325 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4520 - acc: 0.7816
37/254 [===>..........................] - ETA: 0s - loss: 0.4760 - acc: 0.7811
55/254 [=====>........................] - ETA: 0s - loss: 0.4800 - acc: 0.7682
73/254 [=======>......................] - ETA: 0s - loss: 0.4874 - acc: 0.7623
90/254 [=========>....................] - ETA: 0s - loss: 0.5008 - acc: 0.7556
102/254 [===========>..................] - ETA: 0s - loss: 0.5046 - acc: 0.7500
115/254 [============>.................] - ETA: 0s - loss: 0.5069 - acc: 0.7452
123/254 [=============>................] - ETA: 0s - loss: 0.5021 - acc: 0.7504
142/254 [===============>..............] - ETA: 0s - loss: 0.5050 - acc: 0.7472
156/254 [=================>............] - ETA: 0s - loss: 0.5066 - acc: 0.7484
167/254 [==================>...........] - ETA: 0s - loss: 0.5055 - acc: 0.7488
184/254 [====================>.........] - ETA: 0s - loss: 0.5076 - acc: 0.7443
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217/254 [========================>.....] - ETA: 0s - loss: 0.5075 - acc: 0.7442
236/254 [==========================>...] - ETA: 0s - loss: 0.5029 - acc: 0.7456
253/254 [============================>.] - ETA: 0s - loss: 0.5034 - acc: 0.7451
254/254 [==============================] - 1s 3ms/step - loss: 0.5028 - acc: 0.7451
254/254 [==============================] - 1s 5ms/step - loss: 0.5028 - acc: 0.7451 - val_loss: 0.4798 - val_acc: 0.7655
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.3641 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5085 - acc: 0.7500
36/254 [===>..........................] - ETA: 0s - loss: 0.5215 - acc: 0.7556
43/254 [====>.........................] - ETA: 0s - loss: 0.5219 - acc: 0.7500
55/254 [=====>........................] - ETA: 0s - loss: 0.5142 - acc: 0.7555
63/254 [======>.......................] - ETA: 0s - loss: 0.5123 - acc: 0.7595
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83/254 [========>.....................] - ETA: 0s - loss: 0.4988 - acc: 0.7590
100/254 [==========>...................] - ETA: 0s - loss: 0.4978 - acc: 0.7630
115/254 [============>.................] - ETA: 0s - loss: 0.4997 - acc: 0.7613
133/254 [==============>...............] - ETA: 0s - loss: 0.5027 - acc: 0.7560
150/254 [================>.............] - ETA: 0s - loss: 0.5051 - acc: 0.7507
167/254 [==================>...........] - ETA: 0s - loss: 0.5050 - acc: 0.7500
185/254 [====================>.........] - ETA: 0s - loss: 0.5046 - acc: 0.7457
203/254 [======================>.......] - ETA: 0s - loss: 0.5052 - acc: 0.7441
220/254 [========================>.....] - ETA: 0s - loss: 0.5055 - acc: 0.7450
240/254 [===========================>..] - ETA: 0s - loss: 0.5018 - acc: 0.7465
254/254 [==============================] - 1s 3ms/step - loss: 0.5007 - acc: 0.7469
254/254 [==============================] - 1s 4ms/step - loss: 0.5007 - acc: 0.7469 - val_loss: 0.4567 - val_acc: 0.7744
Epoch 5/50
1/254 [..............................] - ETA: 3s - loss: 0.5666 - acc: 0.8000
5/254 [..............................] - ETA: 3s - loss: 0.5079 - acc: 0.8300
22/254 [=>............................] - ETA: 1s - loss: 0.5382 - acc: 0.7432
40/254 [===>..........................] - ETA: 0s - loss: 0.5044 - acc: 0.7563
55/254 [=====>........................] - ETA: 0s - loss: 0.5008 - acc: 0.7436
74/254 [=======>......................] - ETA: 0s - loss: 0.4912 - acc: 0.7514
92/254 [=========>....................] - ETA: 0s - loss: 0.4925 - acc: 0.7543
111/254 [============>.................] - ETA: 0s - loss: 0.4880 - acc: 0.7550
127/254 [==============>...............] - ETA: 0s - loss: 0.4876 - acc: 0.7528
145/254 [================>.............] - ETA: 0s - loss: 0.4915 - acc: 0.7486
163/254 [==================>...........] - ETA: 0s - loss: 0.4939 - acc: 0.7497
182/254 [====================>.........] - ETA: 0s - loss: 0.4964 - acc: 0.7464
201/254 [======================>.......] - ETA: 0s - loss: 0.4979 - acc: 0.7480
218/254 [========================>.....] - ETA: 0s - loss: 0.4996 - acc: 0.7459
236/254 [==========================>...] - ETA: 0s - loss: 0.4975 - acc: 0.7489
254/254 [==============================] - 1s 3ms/step - loss: 0.4942 - acc: 0.7510
254/254 [==============================] - 1s 4ms/step - loss: 0.4942 - acc: 0.7510 - val_loss: 0.4924 - val_acc: 0.7602
Epoch 6/50
1/254 [..............................] - ETA: 1s - loss: 0.3324 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.4810 - acc: 0.7735
33/254 [==>...........................] - ETA: 0s - loss: 0.4739 - acc: 0.7712
53/254 [=====>........................] - ETA: 0s - loss: 0.4687 - acc: 0.7774
69/254 [=======>......................] - ETA: 0s - loss: 0.4798 - acc: 0.7688
87/254 [=========>....................] - ETA: 0s - loss: 0.4797 - acc: 0.7638
105/254 [===========>..................] - ETA: 0s - loss: 0.4794 - acc: 0.7576
124/254 [=============>................] - ETA: 0s - loss: 0.4865 - acc: 0.7552
142/254 [===============>..............] - ETA: 0s - loss: 0.4876 - acc: 0.7602
162/254 [==================>...........] - ETA: 0s - loss: 0.4878 - acc: 0.7590
181/254 [====================>.........] - ETA: 0s - loss: 0.4905 - acc: 0.7558
197/254 [======================>.......] - ETA: 0s - loss: 0.4900 - acc: 0.7543
215/254 [========================>.....] - ETA: 0s - loss: 0.4869 - acc: 0.7528
218/254 [========================>.....] - ETA: 0s - loss: 0.4866 - acc: 0.7537
238/254 [===========================>..] - ETA: 0s - loss: 0.4909 - acc: 0.7515
254/254 [==============================] - 1s 3ms/step - loss: 0.4895 - acc: 0.7510
254/254 [==============================] - 1s 4ms/step - loss: 0.4895 - acc: 0.7510 - val_loss: 0.4821 - val_acc: 0.7620
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.5271 - acc: 0.6500
16/254 [>.............................] - ETA: 0s - loss: 0.4784 - acc: 0.7781
32/254 [==>...........................] - ETA: 0s - loss: 0.4990 - acc: 0.7484
51/254 [=====>........................] - ETA: 0s - loss: 0.4704 - acc: 0.7549
69/254 [=======>......................] - ETA: 0s - loss: 0.4804 - acc: 0.7572
87/254 [=========>....................] - ETA: 0s - loss: 0.4829 - acc: 0.7586
105/254 [===========>..................] - ETA: 0s - loss: 0.4900 - acc: 0.7533
123/254 [=============>................] - ETA: 0s - loss: 0.4965 - acc: 0.7488
141/254 [===============>..............] - ETA: 0s - loss: 0.4993 - acc: 0.7496
161/254 [==================>...........] - ETA: 0s - loss: 0.5041 - acc: 0.7481
180/254 [====================>.........] - ETA: 0s - loss: 0.4958 - acc: 0.7533
198/254 [======================>.......] - ETA: 0s - loss: 0.4977 - acc: 0.7520
217/254 [========================>.....] - ETA: 0s - loss: 0.4995 - acc: 0.7528
234/254 [==========================>...] - ETA: 0s - loss: 0.4970 - acc: 0.7530
251/254 [============================>.] - ETA: 0s - loss: 0.4915 - acc: 0.7548
254/254 [==============================] - 1s 3ms/step - loss: 0.4909 - acc: 0.7542
254/254 [==============================] - 1s 4ms/step - loss: 0.4909 - acc: 0.7542 - val_loss: 0.4773 - val_acc: 0.7620
Epoch 8/50
1/254 [..............................] - ETA: 1s - loss: 0.3168 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4217 - acc: 0.8111
35/254 [===>..........................] - ETA: 0s - loss: 0.4394 - acc: 0.8043
53/254 [=====>........................] - ETA: 0s - loss: 0.4657 - acc: 0.7840
71/254 [=======>......................] - ETA: 0s - loss: 0.4682 - acc: 0.7746
89/254 [=========>....................] - ETA: 0s - loss: 0.4736 - acc: 0.7758
108/254 [===========>..................] - ETA: 0s - loss: 0.4700 - acc: 0.7722
128/254 [==============>...............] - ETA: 0s - loss: 0.4756 - acc: 0.7652
147/254 [================>.............] - ETA: 0s - loss: 0.4849 - acc: 0.7629
165/254 [==================>...........] - ETA: 0s - loss: 0.4912 - acc: 0.7603
184/254 [====================>.........] - ETA: 0s - loss: 0.4881 - acc: 0.7617
203/254 [======================>.......] - ETA: 0s - loss: 0.4893 - acc: 0.7567
215/254 [========================>.....] - ETA: 0s - loss: 0.4872 - acc: 0.7581
234/254 [==========================>...] - ETA: 0s - loss: 0.4891 - acc: 0.7575
252/254 [============================>.] - ETA: 0s - loss: 0.4891 - acc: 0.7579
254/254 [==============================] - 1s 3ms/step - loss: 0.4896 - acc: 0.7568
254/254 [==============================] - 1s 4ms/step - loss: 0.4896 - acc: 0.7568 - val_loss: 0.4890 - val_acc: 0.7567
Epoch 9/50
1/254 [..............................] - ETA: 0s - loss: 0.5345 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.4703 - acc: 0.7611
38/254 [===>..........................] - ETA: 0s - loss: 0.4751 - acc: 0.7487
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85/254 [=========>....................] - ETA: 0s - loss: 0.4932 - acc: 0.7447
101/254 [==========>...................] - ETA: 0s - loss: 0.4965 - acc: 0.7436
119/254 [=============>................] - ETA: 0s - loss: 0.5044 - acc: 0.7403
136/254 [===============>..............] - ETA: 0s - loss: 0.5049 - acc: 0.7404
148/254 [================>.............] - ETA: 0s - loss: 0.5021 - acc: 0.7429
154/254 [=================>............] - ETA: 0s - loss: 0.5001 - acc: 0.7435
168/254 [==================>...........] - ETA: 0s - loss: 0.4971 - acc: 0.7473
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209/254 [=======================>......] - ETA: 0s - loss: 0.4867 - acc: 0.7541
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246/254 [============================>.] - ETA: 0s - loss: 0.4853 - acc: 0.7563
254/254 [==============================] - 1s 4ms/step - loss: 0.4851 - acc: 0.7581
254/254 [==============================] - 1s 5ms/step - loss: 0.4851 - acc: 0.7581 - val_loss: 0.4852 - val_acc: 0.7584
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.4960 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.4937 - acc: 0.7447
39/254 [===>..........................] - ETA: 0s - loss: 0.4869 - acc: 0.7628
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148/254 [================>.............] - ETA: 0s - loss: 0.4659 - acc: 0.7595
165/254 [==================>...........] - ETA: 0s - loss: 0.4642 - acc: 0.7621
184/254 [====================>.........] - ETA: 0s - loss: 0.4720 - acc: 0.7611
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246/254 [============================>.] - ETA: 0s - loss: 0.4828 - acc: 0.7518
254/254 [==============================] - 1s 3ms/step - loss: 0.4839 - acc: 0.7524
254/254 [==============================] - 1s 4ms/step - loss: 0.4839 - acc: 0.7524 - val_loss: 0.5013 - val_acc: 0.7496
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.5245 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5112 - acc: 0.7111
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56/254 [=====>........................] - ETA: 0s - loss: 0.5000 - acc: 0.7268
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253/254 [============================>.] - ETA: 0s - loss: 0.4870 - acc: 0.7512
254/254 [==============================] - 1s 3ms/step - loss: 0.4862 - acc: 0.7518
254/254 [==============================] - 1s 4ms/step - loss: 0.4862 - acc: 0.7518 - val_loss: 0.4715 - val_acc: 0.7691
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.5817 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5388 - acc: 0.7605
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210/254 [=======================>......] - ETA: 0s - loss: 0.4842 - acc: 0.7521
225/254 [=========================>....] - ETA: 0s - loss: 0.4857 - acc: 0.7502
240/254 [===========================>..] - ETA: 0s - loss: 0.4821 - acc: 0.7527
254/254 [==============================] - 1s 4ms/step - loss: 0.4825 - acc: 0.7532
254/254 [==============================] - 1s 4ms/step - loss: 0.4825 - acc: 0.7532 - val_loss: 0.4763 - val_acc: 0.7620
Epoch 13/50
1/254 [..............................] - ETA: 0s - loss: 0.4018 - acc: 0.9000
19/254 [=>............................] - ETA: 0s - loss: 0.4762 - acc: 0.7500
39/254 [===>..........................] - ETA: 0s - loss: 0.4846 - acc: 0.7551
58/254 [=====>........................] - ETA: 0s - loss: 0.5043 - acc: 0.7457
76/254 [=======>......................] - ETA: 0s - loss: 0.4971 - acc: 0.7480
92/254 [=========>....................] - ETA: 0s - loss: 0.4869 - acc: 0.7527
111/254 [============>.................] - ETA: 0s - loss: 0.4821 - acc: 0.7568
129/254 [==============>...............] - ETA: 0s - loss: 0.4818 - acc: 0.7562
148/254 [================>.............] - ETA: 0s - loss: 0.4856 - acc: 0.7510
165/254 [==================>...........] - ETA: 0s - loss: 0.4893 - acc: 0.7482
177/254 [===================>..........] - ETA: 0s - loss: 0.4907 - acc: 0.7483
189/254 [=====================>........] - ETA: 0s - loss: 0.4888 - acc: 0.7495
198/254 [======================>.......] - ETA: 0s - loss: 0.4907 - acc: 0.7485
213/254 [========================>.....] - ETA: 0s - loss: 0.4889 - acc: 0.7498
231/254 [==========================>...] - ETA: 0s - loss: 0.4893 - acc: 0.7498
250/254 [============================>.] - ETA: 0s - loss: 0.4854 - acc: 0.7512
254/254 [==============================] - 1s 3ms/step - loss: 0.4863 - acc: 0.7506
254/254 [==============================] - 1s 4ms/step - loss: 0.4863 - acc: 0.7506 - val_loss: 0.4899 - val_acc: 0.7513
Epoch 14/50
1/254 [..............................] - ETA: 1s - loss: 0.3793 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4965 - acc: 0.7289
38/254 [===>..........................] - ETA: 0s - loss: 0.5323 - acc: 0.7329
57/254 [=====>........................] - ETA: 0s - loss: 0.5131 - acc: 0.7430
75/254 [=======>......................] - ETA: 0s - loss: 0.5015 - acc: 0.7480
94/254 [==========>...................] - ETA: 0s - loss: 0.4986 - acc: 0.7505
112/254 [============>.................] - ETA: 0s - loss: 0.4898 - acc: 0.7540
127/254 [==============>...............] - ETA: 0s - loss: 0.4897 - acc: 0.7531
144/254 [================>.............] - ETA: 0s - loss: 0.4854 - acc: 0.7514
153/254 [=================>............] - ETA: 0s - loss: 0.4820 - acc: 0.7516
164/254 [==================>...........] - ETA: 0s - loss: 0.4812 - acc: 0.7537
174/254 [===================>..........] - ETA: 0s - loss: 0.4801 - acc: 0.7560
189/254 [=====================>........] - ETA: 0s - loss: 0.4801 - acc: 0.7571
206/254 [=======================>......] - ETA: 0s - loss: 0.4827 - acc: 0.7558
223/254 [=========================>....] - ETA: 0s - loss: 0.4845 - acc: 0.7549
231/254 [==========================>...] - ETA: 0s - loss: 0.4816 - acc: 0.7567
237/254 [==========================>...] - ETA: 0s - loss: 0.4830 - acc: 0.7561
254/254 [==============================] - 1s 3ms/step - loss: 0.4841 - acc: 0.7552
254/254 [==============================] - 1s 5ms/step - loss: 0.4841 - acc: 0.7552 - val_loss: 0.4871 - val_acc: 0.7549
Run completed: runs/2024-05-06T19-37-55Z
Training run 14/52 (flags = list(32, 64, 0.001, 50, 50, "relu", "tanh", 0.2, 0.5))
Using run directory runs/2024-05-06T19-38-12Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/102 [..............................] - ETA: 2:01 - loss: 0.7427 - acc: 0.5800
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0295s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0295s). Check your callbacks.
16/102 [===>..........................] - ETA: 0s - loss: 0.6933 - acc: 0.5550
34/102 [=========>....................] - ETA: 0s - loss: 0.6458 - acc: 0.6141
51/102 [==============>...............] - ETA: 0s - loss: 0.6225 - acc: 0.6435
68/102 [===================>..........] - ETA: 0s - loss: 0.6024 - acc: 0.6588
82/102 [=======================>......] - ETA: 0s - loss: 0.5834 - acc: 0.6793
99/102 [============================>.] - ETA: 0s - loss: 0.5766 - acc: 0.6865
102/102 [==============================] - 2s 3ms/step - loss: 0.5762 - acc: 0.6874
102/102 [==============================] - 2s 11ms/step - loss: 0.5762 - acc: 0.6874 - val_loss: 0.5117 - val_acc: 0.7300
Epoch 2/50
1/102 [..............................] - ETA: 0s - loss: 0.5347 - acc: 0.7200
9/102 [=>............................] - ETA: 0s - loss: 0.5184 - acc: 0.7422
26/102 [======>.......................] - ETA: 0s - loss: 0.5107 - acc: 0.7338
39/102 [==========>...................] - ETA: 0s - loss: 0.5203 - acc: 0.7236
48/102 [=============>................] - ETA: 0s - loss: 0.5180 - acc: 0.7292
56/102 [===============>..............] - ETA: 0s - loss: 0.5110 - acc: 0.7343
72/102 [====================>.........] - ETA: 0s - loss: 0.5113 - acc: 0.7378
85/102 [========================>.....] - ETA: 0s - loss: 0.5163 - acc: 0.7325
102/102 [==============================] - 0s 4ms/step - loss: 0.5124 - acc: 0.7339
102/102 [==============================] - 1s 6ms/step - loss: 0.5124 - acc: 0.7339 - val_loss: 0.4802 - val_acc: 0.7602
Epoch 3/50
1/102 [..............................] - ETA: 0s - loss: 0.6931 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.5521 - acc: 0.7294
33/102 [========>.....................] - ETA: 0s - loss: 0.5247 - acc: 0.7333
51/102 [==============>...............] - ETA: 0s - loss: 0.5202 - acc: 0.7376
68/102 [===================>..........] - ETA: 0s - loss: 0.5049 - acc: 0.7456
84/102 [=======================>......] - ETA: 0s - loss: 0.5086 - acc: 0.7462
101/102 [============================>.] - ETA: 0s - loss: 0.5047 - acc: 0.7503
102/102 [==============================] - 0s 3ms/step - loss: 0.5043 - acc: 0.7504
102/102 [==============================] - 1s 6ms/step - loss: 0.5043 - acc: 0.7504 - val_loss: 0.4704 - val_acc: 0.7726
Epoch 4/50
1/102 [..............................] - ETA: 0s - loss: 0.4490 - acc: 0.7400
15/102 [===>..........................] - ETA: 0s - loss: 0.4844 - acc: 0.7733
24/102 [======>.......................] - ETA: 0s - loss: 0.5111 - acc: 0.7558
40/102 [==========>...................] - ETA: 0s - loss: 0.5097 - acc: 0.7505
55/102 [===============>..............] - ETA: 0s - loss: 0.5078 - acc: 0.7480
71/102 [===================>..........] - ETA: 0s - loss: 0.5022 - acc: 0.7552
87/102 [========================>.....] - ETA: 0s - loss: 0.4978 - acc: 0.7543
93/102 [==========================>...] - ETA: 0s - loss: 0.5024 - acc: 0.7533
102/102 [==============================] - 0s 4ms/step - loss: 0.5004 - acc: 0.7534
102/102 [==============================] - 1s 8ms/step - loss: 0.5004 - acc: 0.7534 - val_loss: 0.5006 - val_acc: 0.7407
Epoch 5/50
1/102 [..............................] - ETA: 0s - loss: 0.6408 - acc: 0.6800
14/102 [===>..........................] - ETA: 0s - loss: 0.5370 - acc: 0.7286
32/102 [========>.....................] - ETA: 0s - loss: 0.5149 - acc: 0.7294
50/102 [=============>................] - ETA: 0s - loss: 0.4910 - acc: 0.7444
66/102 [==================>...........] - ETA: 0s - loss: 0.4953 - acc: 0.7448
83/102 [=======================>......] - ETA: 0s - loss: 0.4941 - acc: 0.7448
94/102 [==========================>...] - ETA: 0s - loss: 0.4950 - acc: 0.7472
102/102 [==============================] - 0s 3ms/step - loss: 0.4939 - acc: 0.7491
102/102 [==============================] - 1s 6ms/step - loss: 0.4939 - acc: 0.7491 - val_loss: 0.4885 - val_acc: 0.7496
Epoch 6/50
1/102 [..............................] - ETA: 0s - loss: 0.4093 - acc: 0.8600
16/102 [===>..........................] - ETA: 0s - loss: 0.5096 - acc: 0.7588
34/102 [=========>....................] - ETA: 0s - loss: 0.4942 - acc: 0.7435
52/102 [==============>...............] - ETA: 0s - loss: 0.5050 - acc: 0.7473
70/102 [===================>..........] - ETA: 0s - loss: 0.4958 - acc: 0.7480
88/102 [========================>.....] - ETA: 0s - loss: 0.5016 - acc: 0.7448
102/102 [==============================] - 0s 3ms/step - loss: 0.4968 - acc: 0.7445
102/102 [==============================] - 1s 5ms/step - loss: 0.4968 - acc: 0.7445 - val_loss: 0.4850 - val_acc: 0.7531
Epoch 7/50
1/102 [..............................] - ETA: 0s - loss: 0.3772 - acc: 0.7400
16/102 [===>..........................] - ETA: 0s - loss: 0.5045 - acc: 0.7487
31/102 [========>.....................] - ETA: 0s - loss: 0.5052 - acc: 0.7671
40/102 [==========>...................] - ETA: 0s - loss: 0.4952 - acc: 0.7645
49/102 [=============>................] - ETA: 0s - loss: 0.4971 - acc: 0.7608
64/102 [=================>............] - ETA: 0s - loss: 0.4970 - acc: 0.7525
81/102 [======================>.......] - ETA: 0s - loss: 0.4930 - acc: 0.7509
98/102 [===========================>..] - ETA: 0s - loss: 0.4908 - acc: 0.7488
102/102 [==============================] - 0s 4ms/step - loss: 0.4903 - acc: 0.7485
102/102 [==============================] - 1s 6ms/step - loss: 0.4903 - acc: 0.7485 - val_loss: 0.4681 - val_acc: 0.7726
Epoch 8/50
1/102 [..............................] - ETA: 0s - loss: 0.5462 - acc: 0.5800
16/102 [===>..........................] - ETA: 0s - loss: 0.4897 - acc: 0.7600
33/102 [========>.....................] - ETA: 0s - loss: 0.4923 - acc: 0.7582
51/102 [==============>...............] - ETA: 0s - loss: 0.4845 - acc: 0.7569
68/102 [===================>..........] - ETA: 0s - loss: 0.4774 - acc: 0.7568
85/102 [========================>.....] - ETA: 0s - loss: 0.4846 - acc: 0.7562
102/102 [==============================] - 0s 3ms/step - loss: 0.4887 - acc: 0.7510
102/102 [==============================] - 1s 5ms/step - loss: 0.4887 - acc: 0.7510 - val_loss: 0.5047 - val_acc: 0.7460
Epoch 9/50
1/102 [..............................] - ETA: 0s - loss: 0.4169 - acc: 0.8000
12/102 [==>...........................] - ETA: 0s - loss: 0.4780 - acc: 0.7517
26/102 [======>.......................] - ETA: 0s - loss: 0.4925 - acc: 0.7362
42/102 [===========>..................] - ETA: 0s - loss: 0.4836 - acc: 0.7381
57/102 [===============>..............] - ETA: 0s - loss: 0.4855 - acc: 0.7428
74/102 [====================>.........] - ETA: 0s - loss: 0.4886 - acc: 0.7481
91/102 [=========================>....] - ETA: 0s - loss: 0.4839 - acc: 0.7508
102/102 [==============================] - 0s 4ms/step - loss: 0.4849 - acc: 0.7520
102/102 [==============================] - 1s 6ms/step - loss: 0.4849 - acc: 0.7520 - val_loss: 0.4811 - val_acc: 0.7602
Epoch 10/50
1/102 [..............................] - ETA: 0s - loss: 0.4018 - acc: 0.8400
17/102 [====>.........................] - ETA: 0s - loss: 0.4980 - acc: 0.7541
35/102 [=========>....................] - ETA: 0s - loss: 0.4703 - acc: 0.7623
52/102 [==============>...............] - ETA: 0s - loss: 0.4826 - acc: 0.7569
55/102 [===============>..............] - ETA: 0s - loss: 0.4839 - acc: 0.7556
73/102 [====================>.........] - ETA: 0s - loss: 0.4874 - acc: 0.7548
78/102 [=====================>........] - ETA: 0s - loss: 0.4865 - acc: 0.7556
86/102 [========================>.....] - ETA: 0s - loss: 0.4829 - acc: 0.7544
94/102 [==========================>...] - ETA: 0s - loss: 0.4839 - acc: 0.7515
102/102 [==============================] - 0s 4ms/step - loss: 0.4853 - acc: 0.7516
102/102 [==============================] - 1s 8ms/step - loss: 0.4853 - acc: 0.7516 - val_loss: 0.4803 - val_acc: 0.7638
Epoch 11/50
1/102 [..............................] - ETA: 0s - loss: 0.6054 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.4469 - acc: 0.7741
34/102 [=========>....................] - ETA: 0s - loss: 0.4570 - acc: 0.7712
51/102 [==============>...............] - ETA: 0s - loss: 0.4697 - acc: 0.7718
67/102 [==================>...........] - ETA: 0s - loss: 0.4805 - acc: 0.7672
85/102 [========================>.....] - ETA: 0s - loss: 0.4780 - acc: 0.7621
102/102 [==============================] - 0s 3ms/step - loss: 0.4790 - acc: 0.7599
102/102 [==============================] - 1s 6ms/step - loss: 0.4790 - acc: 0.7599 - val_loss: 0.4876 - val_acc: 0.7584
Epoch 12/50
1/102 [..............................] - ETA: 0s - loss: 0.5200 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.4768 - acc: 0.7518
34/102 [=========>....................] - ETA: 0s - loss: 0.4883 - acc: 0.7559
46/102 [============>.................] - ETA: 0s - loss: 0.4755 - acc: 0.7648
60/102 [================>.............] - ETA: 0s - loss: 0.4765 - acc: 0.7623
77/102 [=====================>........] - ETA: 0s - loss: 0.4762 - acc: 0.7600
94/102 [==========================>...] - ETA: 0s - loss: 0.4747 - acc: 0.7600
102/102 [==============================] - 0s 3ms/step - loss: 0.4801 - acc: 0.7593
102/102 [==============================] - 1s 7ms/step - loss: 0.4801 - acc: 0.7593 - val_loss: 0.4772 - val_acc: 0.7602
Epoch 13/50
1/102 [..............................] - ETA: 0s - loss: 0.4232 - acc: 0.8600
16/102 [===>..........................] - ETA: 0s - loss: 0.4528 - acc: 0.7688
33/102 [========>.....................] - ETA: 0s - loss: 0.4695 - acc: 0.7509
49/102 [=============>................] - ETA: 0s - loss: 0.4620 - acc: 0.7559
67/102 [==================>...........] - ETA: 0s - loss: 0.4634 - acc: 0.7585
71/102 [===================>..........] - ETA: 0s - loss: 0.4611 - acc: 0.7580
85/102 [========================>.....] - ETA: 0s - loss: 0.4625 - acc: 0.7621
100/102 [============================>.] - ETA: 0s - loss: 0.4743 - acc: 0.7594
102/102 [==============================] - 0s 4ms/step - loss: 0.4753 - acc: 0.7579
102/102 [==============================] - 1s 6ms/step - loss: 0.4753 - acc: 0.7579 - val_loss: 0.4981 - val_acc: 0.7531
Epoch 14/50
1/102 [..............................] - ETA: 0s - loss: 0.4657 - acc: 0.7600
16/102 [===>..........................] - ETA: 0s - loss: 0.4718 - acc: 0.7375
34/102 [=========>....................] - ETA: 0s - loss: 0.4824 - acc: 0.7547
52/102 [==============>...............] - ETA: 0s - loss: 0.4777 - acc: 0.7581
70/102 [===================>..........] - ETA: 0s - loss: 0.4763 - acc: 0.7597
86/102 [========================>.....] - ETA: 0s - loss: 0.4760 - acc: 0.7626
102/102 [==============================] - 0s 3ms/step - loss: 0.4763 - acc: 0.7631
102/102 [==============================] - 1s 5ms/step - loss: 0.4763 - acc: 0.7631 - val_loss: 0.5037 - val_acc: 0.7513
Epoch 15/50
1/102 [..............................] - ETA: 0s - loss: 0.3436 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.4585 - acc: 0.7563
26/102 [======>.......................] - ETA: 0s - loss: 0.4619 - acc: 0.7477
33/102 [========>.....................] - ETA: 0s - loss: 0.4605 - acc: 0.7606
45/102 [============>.................] - ETA: 0s - loss: 0.4671 - acc: 0.7618
62/102 [=================>............] - ETA: 0s - loss: 0.4729 - acc: 0.7590
74/102 [====================>.........] - ETA: 0s - loss: 0.4734 - acc: 0.7551
88/102 [========================>.....] - ETA: 0s - loss: 0.4671 - acc: 0.7582
102/102 [==============================] - 0s 4ms/step - loss: 0.4719 - acc: 0.7528
102/102 [==============================] - 1s 8ms/step - loss: 0.4719 - acc: 0.7528 - val_loss: 0.4781 - val_acc: 0.7638
Epoch 16/50
1/102 [..............................] - ETA: 0s - loss: 0.4841 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.4827 - acc: 0.7494
35/102 [=========>....................] - ETA: 0s - loss: 0.4732 - acc: 0.7549
53/102 [==============>...............] - ETA: 0s - loss: 0.4724 - acc: 0.7547
70/102 [===================>..........] - ETA: 0s - loss: 0.4726 - acc: 0.7534
88/102 [========================>.....] - ETA: 0s - loss: 0.4702 - acc: 0.7568
94/102 [==========================>...] - ETA: 0s - loss: 0.4713 - acc: 0.7587
102/102 [==============================] - 0s 3ms/step - loss: 0.4730 - acc: 0.7583
102/102 [==============================] - 1s 6ms/step - loss: 0.4730 - acc: 0.7583 - val_loss: 0.5053 - val_acc: 0.7460
Epoch 17/50
1/102 [..............................] - ETA: 0s - loss: 0.3370 - acc: 0.8200
16/102 [===>..........................] - ETA: 0s - loss: 0.4323 - acc: 0.7750
34/102 [=========>....................] - ETA: 0s - loss: 0.4558 - acc: 0.7706
51/102 [==============>...............] - ETA: 0s - loss: 0.4516 - acc: 0.7733
68/102 [===================>..........] - ETA: 0s - loss: 0.4634 - acc: 0.7724
84/102 [=======================>......] - ETA: 0s - loss: 0.4659 - acc: 0.7698
100/102 [============================>.] - ETA: 0s - loss: 0.4721 - acc: 0.7614
102/102 [==============================] - 0s 3ms/step - loss: 0.4715 - acc: 0.7623
102/102 [==============================] - 1s 5ms/step - loss: 0.4715 - acc: 0.7623 - val_loss: 0.4901 - val_acc: 0.7513
Run completed: runs/2024-05-06T19-38-12Z
Training run 15/52 (flags = list(16, 32, 0.001, 50, 30, "sigmoid", "sigmoid", 0.2, 0.5))
Using run directory runs/2024-05-06T19-38-26Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:01 - loss: 1.1094 - acc: 0.2000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0290s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0290s). Check your callbacks.
18/102 [====>.........................] - ETA: 0s - loss: 1.0225 - acc: 0.2622
36/102 [=========>....................] - ETA: 0s - loss: 0.9310 - acc: 0.2883
54/102 [==============>...............] - ETA: 0s - loss: 0.8901 - acc: 0.3200
73/102 [====================>.........] - ETA: 0s - loss: 0.8490 - acc: 0.3518
86/102 [========================>.....] - ETA: 0s - loss: 0.8278 - acc: 0.3758
100/102 [============================>.] - ETA: 0s - loss: 0.8151 - acc: 0.3958
102/102 [==============================] - 2s 3ms/step - loss: 0.8126 - acc: 0.3986
102/102 [==============================] - 2s 12ms/step - loss: 0.8126 - acc: 0.3986 - val_loss: 0.6687 - val_acc: 0.6963
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.6729 - acc: 0.5800
15/102 [===>..........................] - ETA: 0s - loss: 0.6986 - acc: 0.5493
33/102 [========>.....................] - ETA: 0s - loss: 0.6889 - acc: 0.5594
52/102 [==============>...............] - ETA: 0s - loss: 0.6929 - acc: 0.5627
63/102 [=================>............] - ETA: 0s - loss: 0.6860 - acc: 0.5641
74/102 [====================>.........] - ETA: 0s - loss: 0.6848 - acc: 0.5657
93/102 [==========================>...] - ETA: 0s - loss: 0.6811 - acc: 0.5697
102/102 [==============================] - 0s 4ms/step - loss: 0.6781 - acc: 0.5760
102/102 [==============================] - 1s 6ms/step - loss: 0.6781 - acc: 0.5760 - val_loss: 0.6102 - val_acc: 0.7371
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.6393 - acc: 0.6400
15/102 [===>..........................] - ETA: 0s - loss: 0.6346 - acc: 0.6320
32/102 [========>.....................] - ETA: 0s - loss: 0.6330 - acc: 0.6381
38/102 [==========>...................] - ETA: 0s - loss: 0.6383 - acc: 0.6368
57/102 [===============>..............] - ETA: 0s - loss: 0.6318 - acc: 0.6361
76/102 [=====================>........] - ETA: 0s - loss: 0.6210 - acc: 0.6455
95/102 [==========================>...] - ETA: 0s - loss: 0.6142 - acc: 0.6537
102/102 [==============================] - 0s 4ms/step - loss: 0.6140 - acc: 0.6560
102/102 [==============================] - 1s 7ms/step - loss: 0.6140 - acc: 0.6560 - val_loss: 0.5486 - val_acc: 0.7602
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.6843 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.5670 - acc: 0.6833
34/102 [=========>....................] - ETA: 0s - loss: 0.5603 - acc: 0.7059
43/102 [===========>..................] - ETA: 0s - loss: 0.5717 - acc: 0.7102
62/102 [=================>............] - ETA: 0s - loss: 0.5741 - acc: 0.7135
80/102 [======================>.......] - ETA: 0s - loss: 0.5702 - acc: 0.7122
95/102 [==========================>...] - ETA: 0s - loss: 0.5715 - acc: 0.7105
102/102 [==============================] - 0s 3ms/step - loss: 0.5751 - acc: 0.7081
102/102 [==============================] - 1s 6ms/step - loss: 0.5751 - acc: 0.7081 - val_loss: 0.5318 - val_acc: 0.7478
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.6743 - acc: 0.6200
18/102 [====>.........................] - ETA: 0s - loss: 0.5398 - acc: 0.7222
37/102 [=========>....................] - ETA: 0s - loss: 0.5426 - acc: 0.7270
55/102 [===============>..............] - ETA: 0s - loss: 0.5430 - acc: 0.7327
73/102 [====================>.........] - ETA: 0s - loss: 0.5572 - acc: 0.7268
92/102 [==========================>...] - ETA: 0s - loss: 0.5615 - acc: 0.7191
102/102 [==============================] - 0s 3ms/step - loss: 0.5580 - acc: 0.7232
102/102 [==============================] - 1s 6ms/step - loss: 0.5580 - acc: 0.7232 - val_loss: 0.5125 - val_acc: 0.7638
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.5040 - acc: 0.7400
11/102 [==>...........................] - ETA: 0s - loss: 0.5130 - acc: 0.7527
20/102 [====>.........................] - ETA: 0s - loss: 0.5241 - acc: 0.7460
34/102 [=========>....................] - ETA: 0s - loss: 0.5288 - acc: 0.7465
50/102 [=============>................] - ETA: 0s - loss: 0.5297 - acc: 0.7436
67/102 [==================>...........] - ETA: 0s - loss: 0.5395 - acc: 0.7340
83/102 [=======================>......] - ETA: 0s - loss: 0.5404 - acc: 0.7361
101/102 [============================>.] - ETA: 0s - loss: 0.5401 - acc: 0.7354
102/102 [==============================] - 0s 4ms/step - loss: 0.5400 - acc: 0.7353
102/102 [==============================] - 1s 6ms/step - loss: 0.5400 - acc: 0.7353 - val_loss: 0.5029 - val_acc: 0.7691
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.5149 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5192 - acc: 0.7456
36/102 [=========>....................] - ETA: 0s - loss: 0.5414 - acc: 0.7294
51/102 [==============>...............] - ETA: 0s - loss: 0.5514 - acc: 0.7196
69/102 [===================>..........] - ETA: 0s - loss: 0.5529 - acc: 0.7258
87/102 [========================>.....] - ETA: 0s - loss: 0.5454 - acc: 0.7308
92/102 [==========================>...] - ETA: 0s - loss: 0.5451 - acc: 0.7307
102/102 [==============================] - 0s 3ms/step - loss: 0.5393 - acc: 0.7347
102/102 [==============================] - 1s 6ms/step - loss: 0.5393 - acc: 0.7347 - val_loss: 0.4975 - val_acc: 0.7709
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.5729 - acc: 0.6600
18/102 [====>.........................] - ETA: 0s - loss: 0.5335 - acc: 0.7333
38/102 [==========>...................] - ETA: 0s - loss: 0.5415 - acc: 0.7426
45/102 [============>.................] - ETA: 0s - loss: 0.5327 - acc: 0.7516
57/102 [===============>..............] - ETA: 0s - loss: 0.5395 - acc: 0.7495
76/102 [=====================>........] - ETA: 0s - loss: 0.5306 - acc: 0.7495
91/102 [=========================>....] - ETA: 0s - loss: 0.5344 - acc: 0.7448
102/102 [==============================] - 0s 4ms/step - loss: 0.5362 - acc: 0.7459
102/102 [==============================] - 1s 6ms/step - loss: 0.5362 - acc: 0.7459 - val_loss: 0.4885 - val_acc: 0.7691
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.4203 - acc: 0.8600
13/102 [==>...........................] - ETA: 0s - loss: 0.4982 - acc: 0.7631
21/102 [=====>........................] - ETA: 0s - loss: 0.4988 - acc: 0.7619
34/102 [=========>....................] - ETA: 0s - loss: 0.5125 - acc: 0.7500
52/102 [==============>...............] - ETA: 0s - loss: 0.5301 - acc: 0.7415
70/102 [===================>..........] - ETA: 0s - loss: 0.5368 - acc: 0.7411
82/102 [=======================>......] - ETA: 0s - loss: 0.5345 - acc: 0.7410
100/102 [============================>.] - ETA: 0s - loss: 0.5323 - acc: 0.7420
102/102 [==============================] - 0s 4ms/step - loss: 0.5325 - acc: 0.7416
102/102 [==============================] - 1s 7ms/step - loss: 0.5325 - acc: 0.7416 - val_loss: 0.4879 - val_acc: 0.7691
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.5297 - acc: 0.8400
18/102 [====>.........................] - ETA: 0s - loss: 0.5280 - acc: 0.7556
37/102 [=========>....................] - ETA: 0s - loss: 0.5160 - acc: 0.7519
55/102 [===============>..............] - ETA: 0s - loss: 0.5120 - acc: 0.7542
72/102 [====================>.........] - ETA: 0s - loss: 0.5143 - acc: 0.7514
91/102 [=========================>....] - ETA: 0s - loss: 0.5181 - acc: 0.7495
101/102 [============================>.] - ETA: 0s - loss: 0.5169 - acc: 0.7487
102/102 [==============================] - 0s 3ms/step - loss: 0.5166 - acc: 0.7489
102/102 [==============================] - 1s 6ms/step - loss: 0.5166 - acc: 0.7489 - val_loss: 0.4987 - val_acc: 0.7638
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.5031 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.5120 - acc: 0.7576
36/102 [=========>....................] - ETA: 0s - loss: 0.5325 - acc: 0.7383
54/102 [==============>...............] - ETA: 0s - loss: 0.5287 - acc: 0.7463
72/102 [====================>.........] - ETA: 0s - loss: 0.5192 - acc: 0.7522
89/102 [=========================>....] - ETA: 0s - loss: 0.5160 - acc: 0.7524
102/102 [==============================] - 0s 3ms/step - loss: 0.5210 - acc: 0.7504
102/102 [==============================] - 1s 5ms/step - loss: 0.5210 - acc: 0.7504 - val_loss: 0.4864 - val_acc: 0.7655
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.5972 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.5082 - acc: 0.7578
35/102 [=========>....................] - ETA: 0s - loss: 0.5404 - acc: 0.7320
42/102 [===========>..................] - ETA: 0s - loss: 0.5365 - acc: 0.7333
59/102 [================>.............] - ETA: 0s - loss: 0.5312 - acc: 0.7346
76/102 [=====================>........] - ETA: 0s - loss: 0.5205 - acc: 0.7424
92/102 [==========================>...] - ETA: 0s - loss: 0.5212 - acc: 0.7463
102/102 [==============================] - 0s 3ms/step - loss: 0.5210 - acc: 0.7471
102/102 [==============================] - 1s 6ms/step - loss: 0.5210 - acc: 0.7471 - val_loss: 0.4964 - val_acc: 0.7638
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.4942 - acc: 0.6400
18/102 [====>.........................] - ETA: 0s - loss: 0.5071 - acc: 0.7478
38/102 [==========>...................] - ETA: 0s - loss: 0.5138 - acc: 0.7484
55/102 [===============>..............] - ETA: 0s - loss: 0.5114 - acc: 0.7458
74/102 [====================>.........] - ETA: 0s - loss: 0.5099 - acc: 0.7559
92/102 [==========================>...] - ETA: 0s - loss: 0.5137 - acc: 0.7520
102/102 [==============================] - 0s 3ms/step - loss: 0.5162 - acc: 0.7542
102/102 [==============================] - 1s 6ms/step - loss: 0.5162 - acc: 0.7542 - val_loss: 0.4942 - val_acc: 0.7638
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.5185 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.4938 - acc: 0.7622
37/102 [=========>....................] - ETA: 0s - loss: 0.5002 - acc: 0.7584
55/102 [===============>..............] - ETA: 0s - loss: 0.5066 - acc: 0.7578
66/102 [==================>...........] - ETA: 0s - loss: 0.5071 - acc: 0.7582
84/102 [=======================>......] - ETA: 0s - loss: 0.5080 - acc: 0.7552
98/102 [===========================>..] - ETA: 0s - loss: 0.5092 - acc: 0.7539
102/102 [==============================] - 0s 4ms/step - loss: 0.5127 - acc: 0.7516
102/102 [==============================] - 1s 6ms/step - loss: 0.5127 - acc: 0.7516 - val_loss: 0.4800 - val_acc: 0.7655
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.6613 - acc: 0.7400
19/102 [====>.........................] - ETA: 0s - loss: 0.4972 - acc: 0.7716
37/102 [=========>....................] - ETA: 0s - loss: 0.5222 - acc: 0.7524
56/102 [===============>..............] - ETA: 0s - loss: 0.5227 - acc: 0.7471
74/102 [====================>.........] - ETA: 0s - loss: 0.5167 - acc: 0.7484
85/102 [========================>.....] - ETA: 0s - loss: 0.5174 - acc: 0.7492
100/102 [============================>.] - ETA: 0s - loss: 0.5146 - acc: 0.7476
102/102 [==============================] - 0s 3ms/step - loss: 0.5138 - acc: 0.7479
102/102 [==============================] - 1s 6ms/step - loss: 0.5138 - acc: 0.7479 - val_loss: 0.4783 - val_acc: 0.7655
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.4857 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.5307 - acc: 0.7711
38/102 [==========>...................] - ETA: 0s - loss: 0.5077 - acc: 0.7742
57/102 [===============>..............] - ETA: 0s - loss: 0.5141 - acc: 0.7621
74/102 [====================>.........] - ETA: 0s - loss: 0.5093 - acc: 0.7595
91/102 [=========================>....] - ETA: 0s - loss: 0.5091 - acc: 0.7554
102/102 [==============================] - 0s 3ms/step - loss: 0.5107 - acc: 0.7552
102/102 [==============================] - 1s 5ms/step - loss: 0.5107 - acc: 0.7552 - val_loss: 0.4848 - val_acc: 0.7655
Epoch 17/30
1/102 [..............................] - ETA: 0s - loss: 0.6416 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5211 - acc: 0.7378
37/102 [=========>....................] - ETA: 0s - loss: 0.5204 - acc: 0.7400
46/102 [============>.................] - ETA: 0s - loss: 0.5105 - acc: 0.7474
65/102 [==================>...........] - ETA: 0s - loss: 0.5107 - acc: 0.7529
82/102 [=======================>......] - ETA: 0s - loss: 0.5112 - acc: 0.7537
99/102 [============================>.] - ETA: 0s - loss: 0.5160 - acc: 0.7495
102/102 [==============================] - 0s 4ms/step - loss: 0.5171 - acc: 0.7487
102/102 [==============================] - 1s 6ms/step - loss: 0.5171 - acc: 0.7487 - val_loss: 0.4945 - val_acc: 0.7602
Epoch 18/30
1/102 [..............................] - ETA: 0s - loss: 0.4142 - acc: 0.8600
18/102 [====>.........................] - ETA: 0s - loss: 0.5065 - acc: 0.7633
37/102 [=========>....................] - ETA: 0s - loss: 0.5103 - acc: 0.7676
56/102 [===============>..............] - ETA: 0s - loss: 0.5287 - acc: 0.7482
74/102 [====================>.........] - ETA: 0s - loss: 0.5229 - acc: 0.7446
91/102 [=========================>....] - ETA: 0s - loss: 0.5188 - acc: 0.7444
102/102 [==============================] - 0s 3ms/step - loss: 0.5200 - acc: 0.7479
102/102 [==============================] - 1s 5ms/step - loss: 0.5200 - acc: 0.7479 - val_loss: 0.4871 - val_acc: 0.7655
Epoch 19/30
1/102 [..............................] - ETA: 0s - loss: 0.4711 - acc: 0.8200
5/102 [>.............................] - ETA: 1s - loss: 0.5109 - acc: 0.7440
22/102 [=====>........................] - ETA: 0s - loss: 0.4703 - acc: 0.7773
40/102 [==========>...................] - ETA: 0s - loss: 0.4900 - acc: 0.7675
59/102 [================>.............] - ETA: 0s - loss: 0.4981 - acc: 0.7631
78/102 [=====================>........] - ETA: 0s - loss: 0.5079 - acc: 0.7587
96/102 [===========================>..] - ETA: 0s - loss: 0.5129 - acc: 0.7592
98/102 [===========================>..] - ETA: 0s - loss: 0.5129 - acc: 0.7590
102/102 [==============================] - 0s 4ms/step - loss: 0.5111 - acc: 0.7613
102/102 [==============================] - 1s 7ms/step - loss: 0.5111 - acc: 0.7613 - val_loss: 0.5060 - val_acc: 0.7584
Epoch 20/30
1/102 [..............................] - ETA: 0s - loss: 0.5238 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.5179 - acc: 0.7389
36/102 [=========>....................] - ETA: 0s - loss: 0.5152 - acc: 0.7383
55/102 [===============>..............] - ETA: 0s - loss: 0.5074 - acc: 0.7433
73/102 [====================>.........] - ETA: 0s - loss: 0.5068 - acc: 0.7441
86/102 [========================>.....] - ETA: 0s - loss: 0.5104 - acc: 0.7458
102/102 [==============================] - 0s 3ms/step - loss: 0.5058 - acc: 0.7477
102/102 [==============================] - 1s 6ms/step - loss: 0.5058 - acc: 0.7477 - val_loss: 0.4882 - val_acc: 0.7620
Epoch 21/30
1/102 [..............................] - ETA: 0s - loss: 0.3883 - acc: 0.7600
20/102 [====>.........................] - ETA: 0s - loss: 0.5054 - acc: 0.7500
40/102 [==========>...................] - ETA: 0s - loss: 0.5048 - acc: 0.7470
59/102 [================>.............] - ETA: 0s - loss: 0.5037 - acc: 0.7475
77/102 [=====================>........] - ETA: 0s - loss: 0.5118 - acc: 0.7447
95/102 [==========================>...] - ETA: 0s - loss: 0.5098 - acc: 0.7478
102/102 [==============================] - 0s 3ms/step - loss: 0.5064 - acc: 0.7502
102/102 [==============================] - 1s 5ms/step - loss: 0.5064 - acc: 0.7502 - val_loss: 0.4906 - val_acc: 0.7584
Epoch 22/30
1/102 [..............................] - ETA: 0s - loss: 0.4545 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.5141 - acc: 0.7389
36/102 [=========>....................] - ETA: 0s - loss: 0.5241 - acc: 0.7456
46/102 [============>.................] - ETA: 0s - loss: 0.5119 - acc: 0.7457
59/102 [================>.............] - ETA: 0s - loss: 0.5055 - acc: 0.7512
76/102 [=====================>........] - ETA: 0s - loss: 0.5065 - acc: 0.7547
93/102 [==========================>...] - ETA: 0s - loss: 0.5106 - acc: 0.7527
102/102 [==============================] - 0s 3ms/step - loss: 0.5078 - acc: 0.7524
102/102 [==============================] - 1s 6ms/step - loss: 0.5078 - acc: 0.7524 - val_loss: 0.4894 - val_acc: 0.7584
Epoch 23/30
1/102 [..............................] - ETA: 0s - loss: 0.5039 - acc: 0.7400
19/102 [====>.........................] - ETA: 0s - loss: 0.4917 - acc: 0.7653
38/102 [==========>...................] - ETA: 0s - loss: 0.5027 - acc: 0.7611
57/102 [===============>..............] - ETA: 0s - loss: 0.4950 - acc: 0.7632
73/102 [====================>.........] - ETA: 0s - loss: 0.4927 - acc: 0.7605
90/102 [=========================>....] - ETA: 0s - loss: 0.4966 - acc: 0.7611
102/102 [==============================] - 0s 3ms/step - loss: 0.5031 - acc: 0.7564
102/102 [==============================] - 1s 5ms/step - loss: 0.5031 - acc: 0.7564 - val_loss: 0.4880 - val_acc: 0.7584
Epoch 24/30
1/102 [..............................] - ETA: 0s - loss: 0.5062 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.4977 - acc: 0.7567
33/102 [========>.....................] - ETA: 0s - loss: 0.5005 - acc: 0.7503
42/102 [===========>..................] - ETA: 0s - loss: 0.4933 - acc: 0.7514
55/102 [===============>..............] - ETA: 0s - loss: 0.5103 - acc: 0.7407
73/102 [====================>.........] - ETA: 0s - loss: 0.5127 - acc: 0.7468
91/102 [=========================>....] - ETA: 0s - loss: 0.5050 - acc: 0.7488
102/102 [==============================] - 0s 3ms/step - loss: 0.5056 - acc: 0.7495
102/102 [==============================] - 1s 6ms/step - loss: 0.5056 - acc: 0.7495 - val_loss: 0.4888 - val_acc: 0.7567
Epoch 25/30
1/102 [..............................] - ETA: 0s - loss: 0.4475 - acc: 0.8000
19/102 [====>.........................] - ETA: 0s - loss: 0.4854 - acc: 0.7547
39/102 [==========>...................] - ETA: 0s - loss: 0.4979 - acc: 0.7579
58/102 [================>.............] - ETA: 0s - loss: 0.5141 - acc: 0.7500
77/102 [=====================>........] - ETA: 0s - loss: 0.5125 - acc: 0.7486
84/102 [=======================>......] - ETA: 0s - loss: 0.5116 - acc: 0.7479
91/102 [=========================>....] - ETA: 0s - loss: 0.5127 - acc: 0.7484
102/102 [==============================] - 0s 4ms/step - loss: 0.5059 - acc: 0.7502
102/102 [==============================] - 1s 7ms/step - loss: 0.5059 - acc: 0.7502 - val_loss: 0.4858 - val_acc: 0.7602
Run completed: runs/2024-05-06T19-38-26Z
Training run 16/52 (flags = list(64, 16, 0.01, 50, 30, "relu", "tanh", 0.2, 0.5))
Using run directory runs/2024-05-06T19-38-43Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:00 - loss: 0.7254 - acc: 0.6000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0044s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0044s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
11/102 [==>...........................] - ETA: 0s - loss: 0.6772 - acc: 0.6055
20/102 [====>.........................] - ETA: 0s - loss: 0.6734 - acc: 0.6050
36/102 [=========>....................] - ETA: 0s - loss: 0.6582 - acc: 0.6256
54/102 [==============>...............] - ETA: 0s - loss: 0.6334 - acc: 0.6422
72/102 [====================>.........] - ETA: 0s - loss: 0.6144 - acc: 0.6597
90/102 [=========================>....] - ETA: 0s - loss: 0.5981 - acc: 0.6702
102/102 [==============================] - 2s 4ms/step - loss: 0.5956 - acc: 0.6783
102/102 [==============================] - 2s 12ms/step - loss: 0.5956 - acc: 0.6783 - val_loss: 0.4843 - val_acc: 0.7673
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.5645 - acc: 0.7400
7/102 [=>............................] - ETA: 0s - loss: 0.6143 - acc: 0.6771
24/102 [======>.......................] - ETA: 0s - loss: 0.5609 - acc: 0.7125
41/102 [===========>..................] - ETA: 0s - loss: 0.5285 - acc: 0.7327
52/102 [==============>...............] - ETA: 0s - loss: 0.5262 - acc: 0.7381
67/102 [==================>...........] - ETA: 0s - loss: 0.5264 - acc: 0.7406
83/102 [=======================>......] - ETA: 0s - loss: 0.5242 - acc: 0.7405
98/102 [===========================>..] - ETA: 0s - loss: 0.5251 - acc: 0.7420
102/102 [==============================] - 0s 4ms/step - loss: 0.5267 - acc: 0.7416
102/102 [==============================] - 1s 6ms/step - loss: 0.5267 - acc: 0.7416 - val_loss: 0.4871 - val_acc: 0.7655
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.3989 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.4863 - acc: 0.7447
34/102 [=========>....................] - ETA: 0s - loss: 0.4914 - acc: 0.7565
51/102 [==============>...............] - ETA: 0s - loss: 0.5024 - acc: 0.7514
68/102 [===================>..........] - ETA: 0s - loss: 0.5064 - acc: 0.7497
84/102 [=======================>......] - ETA: 0s - loss: 0.5058 - acc: 0.7493
101/102 [============================>.] - ETA: 0s - loss: 0.5101 - acc: 0.7479
102/102 [==============================] - 0s 3ms/step - loss: 0.5093 - acc: 0.7485
102/102 [==============================] - 1s 6ms/step - loss: 0.5093 - acc: 0.7485 - val_loss: 0.4691 - val_acc: 0.7762
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.4258 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.4805 - acc: 0.7733
37/102 [=========>....................] - ETA: 0s - loss: 0.5016 - acc: 0.7492
45/102 [============>.................] - ETA: 0s - loss: 0.5078 - acc: 0.7489
54/102 [==============>...............] - ETA: 0s - loss: 0.5098 - acc: 0.7478
65/102 [==================>...........] - ETA: 0s - loss: 0.5077 - acc: 0.7483
78/102 [=====================>........] - ETA: 0s - loss: 0.5036 - acc: 0.7487
90/102 [=========================>....] - ETA: 0s - loss: 0.5046 - acc: 0.7480
102/102 [==============================] - 0s 4ms/step - loss: 0.5065 - acc: 0.7532
102/102 [==============================] - 1s 8ms/step - loss: 0.5065 - acc: 0.7532 - val_loss: 0.4796 - val_acc: 0.7673
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.4370 - acc: 0.7600
19/102 [====>.........................] - ETA: 0s - loss: 0.4965 - acc: 0.7674
38/102 [==========>...................] - ETA: 0s - loss: 0.5151 - acc: 0.7521
54/102 [==============>...............] - ETA: 0s - loss: 0.5094 - acc: 0.7456
71/102 [===================>..........] - ETA: 0s - loss: 0.5012 - acc: 0.7451
88/102 [========================>.....] - ETA: 0s - loss: 0.4982 - acc: 0.7495
102/102 [==============================] - 0s 3ms/step - loss: 0.4965 - acc: 0.7510
102/102 [==============================] - 1s 6ms/step - loss: 0.4965 - acc: 0.7510 - val_loss: 0.4745 - val_acc: 0.7638
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.4658 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5080 - acc: 0.7611
37/102 [=========>....................] - ETA: 0s - loss: 0.4936 - acc: 0.7643
55/102 [===============>..............] - ETA: 0s - loss: 0.4959 - acc: 0.7553
73/102 [====================>.........] - ETA: 0s - loss: 0.4944 - acc: 0.7551
90/102 [=========================>....] - ETA: 0s - loss: 0.4973 - acc: 0.7522
102/102 [==============================] - 0s 3ms/step - loss: 0.4937 - acc: 0.7542
102/102 [==============================] - 1s 5ms/step - loss: 0.4937 - acc: 0.7542 - val_loss: 0.4862 - val_acc: 0.7549
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.5789 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.4736 - acc: 0.7722
36/102 [=========>....................] - ETA: 0s - loss: 0.4922 - acc: 0.7639
50/102 [=============>................] - ETA: 0s - loss: 0.4879 - acc: 0.7648
61/102 [================>.............] - ETA: 0s - loss: 0.4861 - acc: 0.7669
76/102 [=====================>........] - ETA: 0s - loss: 0.4895 - acc: 0.7624
85/102 [========================>.....] - ETA: 0s - loss: 0.4888 - acc: 0.7624
102/102 [==============================] - 0s 4ms/step - loss: 0.4933 - acc: 0.7585
102/102 [==============================] - 1s 6ms/step - loss: 0.4933 - acc: 0.7585 - val_loss: 0.4932 - val_acc: 0.7531
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.4219 - acc: 0.8600
16/102 [===>..........................] - ETA: 0s - loss: 0.5028 - acc: 0.7462
34/102 [=========>....................] - ETA: 0s - loss: 0.5161 - acc: 0.7482
52/102 [==============>...............] - ETA: 0s - loss: 0.5084 - acc: 0.7415
68/102 [===================>..........] - ETA: 0s - loss: 0.5041 - acc: 0.7415
84/102 [=======================>......] - ETA: 0s - loss: 0.4956 - acc: 0.7488
101/102 [============================>.] - ETA: 0s - loss: 0.4892 - acc: 0.7503
102/102 [==============================] - 0s 3ms/step - loss: 0.4895 - acc: 0.7504
102/102 [==============================] - 1s 5ms/step - loss: 0.4895 - acc: 0.7504 - val_loss: 0.4665 - val_acc: 0.7709
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.4562 - acc: 0.8200
11/102 [==>...........................] - ETA: 0s - loss: 0.4671 - acc: 0.7836
22/102 [=====>........................] - ETA: 0s - loss: 0.4783 - acc: 0.7627
26/102 [======>.......................] - ETA: 0s - loss: 0.4848 - acc: 0.7662
43/102 [===========>..................] - ETA: 0s - loss: 0.4910 - acc: 0.7614
61/102 [================>.............] - ETA: 0s - loss: 0.4897 - acc: 0.7580
76/102 [=====================>........] - ETA: 0s - loss: 0.4927 - acc: 0.7534
94/102 [==========================>...] - ETA: 0s - loss: 0.4865 - acc: 0.7596
102/102 [==============================] - 0s 4ms/step - loss: 0.4886 - acc: 0.7564
102/102 [==============================] - 1s 7ms/step - loss: 0.4886 - acc: 0.7564 - val_loss: 0.4901 - val_acc: 0.7460
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.4595 - acc: 0.8200
18/102 [====>.........................] - ETA: 0s - loss: 0.4451 - acc: 0.7811
36/102 [=========>....................] - ETA: 0s - loss: 0.4609 - acc: 0.7778
53/102 [==============>...............] - ETA: 0s - loss: 0.4816 - acc: 0.7660
71/102 [===================>..........] - ETA: 0s - loss: 0.4829 - acc: 0.7583
77/102 [=====================>........] - ETA: 0s - loss: 0.4821 - acc: 0.7579
94/102 [==========================>...] - ETA: 0s - loss: 0.4955 - acc: 0.7585
102/102 [==============================] - 0s 4ms/step - loss: 0.4922 - acc: 0.7575
102/102 [==============================] - 1s 7ms/step - loss: 0.4922 - acc: 0.7575 - val_loss: 0.5254 - val_acc: 0.7211
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.4349 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.4869 - acc: 0.7624
35/102 [=========>....................] - ETA: 0s - loss: 0.4961 - acc: 0.7526
52/102 [==============>...............] - ETA: 0s - loss: 0.4932 - acc: 0.7488
68/102 [===================>..........] - ETA: 0s - loss: 0.4910 - acc: 0.7524
84/102 [=======================>......] - ETA: 0s - loss: 0.4875 - acc: 0.7550
101/102 [============================>.] - ETA: 0s - loss: 0.4863 - acc: 0.7566
102/102 [==============================] - 0s 3ms/step - loss: 0.4858 - acc: 0.7566
102/102 [==============================] - 1s 6ms/step - loss: 0.4858 - acc: 0.7566 - val_loss: 0.4916 - val_acc: 0.7531
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.5212 - acc: 0.7400
16/102 [===>..........................] - ETA: 0s - loss: 0.4744 - acc: 0.7575
23/102 [=====>........................] - ETA: 0s - loss: 0.4783 - acc: 0.7600
40/102 [==========>...................] - ETA: 0s - loss: 0.4851 - acc: 0.7550
51/102 [==============>...............] - ETA: 0s - loss: 0.4825 - acc: 0.7596
66/102 [==================>...........] - ETA: 0s - loss: 0.4847 - acc: 0.7621
82/102 [=======================>......] - ETA: 0s - loss: 0.4806 - acc: 0.7612
98/102 [===========================>..] - ETA: 0s - loss: 0.4841 - acc: 0.7612
102/102 [==============================] - 0s 4ms/step - loss: 0.4860 - acc: 0.7577
102/102 [==============================] - 1s 7ms/step - loss: 0.4860 - acc: 0.7577 - val_loss: 0.4970 - val_acc: 0.7496
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.5704 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.4624 - acc: 0.7576
34/102 [=========>....................] - ETA: 0s - loss: 0.4788 - acc: 0.7535
51/102 [==============>...............] - ETA: 0s - loss: 0.4720 - acc: 0.7537
69/102 [===================>..........] - ETA: 0s - loss: 0.4757 - acc: 0.7516
85/102 [========================>.....] - ETA: 0s - loss: 0.4737 - acc: 0.7551
101/102 [============================>.] - ETA: 0s - loss: 0.4772 - acc: 0.7562
102/102 [==============================] - 0s 3ms/step - loss: 0.4774 - acc: 0.7562
102/102 [==============================] - 1s 6ms/step - loss: 0.4774 - acc: 0.7562 - val_loss: 0.4951 - val_acc: 0.7531
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.3975 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.4752 - acc: 0.7422
37/102 [=========>....................] - ETA: 0s - loss: 0.4888 - acc: 0.7465
54/102 [==============>...............] - ETA: 0s - loss: 0.4811 - acc: 0.7593
71/102 [===================>..........] - ETA: 0s - loss: 0.4875 - acc: 0.7513
88/102 [========================>.....] - ETA: 0s - loss: 0.4792 - acc: 0.7593
102/102 [==============================] - 0s 3ms/step - loss: 0.4798 - acc: 0.7581
102/102 [==============================] - 1s 5ms/step - loss: 0.4798 - acc: 0.7581 - val_loss: 0.4834 - val_acc: 0.7460
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.4015 - acc: 0.8600
18/102 [====>.........................] - ETA: 0s - loss: 0.4915 - acc: 0.7589
37/102 [=========>....................] - ETA: 0s - loss: 0.4945 - acc: 0.7568
52/102 [==============>...............] - ETA: 0s - loss: 0.4893 - acc: 0.7500
68/102 [===================>..........] - ETA: 0s - loss: 0.4765 - acc: 0.7544
84/102 [=======================>......] - ETA: 0s - loss: 0.4716 - acc: 0.7645
100/102 [============================>.] - ETA: 0s - loss: 0.4757 - acc: 0.7644
102/102 [==============================] - 0s 3ms/step - loss: 0.4766 - acc: 0.7646
102/102 [==============================] - 1s 7ms/step - loss: 0.4766 - acc: 0.7646 - val_loss: 0.5021 - val_acc: 0.7425
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.5982 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.4772 - acc: 0.7556
37/102 [=========>....................] - ETA: 0s - loss: 0.4748 - acc: 0.7578
55/102 [===============>..............] - ETA: 0s - loss: 0.4686 - acc: 0.7618
71/102 [===================>..........] - ETA: 0s - loss: 0.4711 - acc: 0.7597
86/102 [========================>.....] - ETA: 0s - loss: 0.4745 - acc: 0.7633
102/102 [==============================] - 0s 3ms/step - loss: 0.4741 - acc: 0.7615
102/102 [==============================] - 1s 5ms/step - loss: 0.4741 - acc: 0.7615 - val_loss: 0.4826 - val_acc: 0.7602
Epoch 17/30
1/102 [..............................] - ETA: 0s - loss: 0.4981 - acc: 0.7000
19/102 [====>.........................] - ETA: 0s - loss: 0.4764 - acc: 0.7653
37/102 [=========>....................] - ETA: 0s - loss: 0.4626 - acc: 0.7800
53/102 [==============>...............] - ETA: 0s - loss: 0.4759 - acc: 0.7675
69/102 [===================>..........] - ETA: 0s - loss: 0.4697 - acc: 0.7670
83/102 [=======================>......] - ETA: 0s - loss: 0.4715 - acc: 0.7627
97/102 [===========================>..] - ETA: 0s - loss: 0.4739 - acc: 0.7637
102/102 [==============================] - 0s 3ms/step - loss: 0.4749 - acc: 0.7648
102/102 [==============================] - 1s 6ms/step - loss: 0.4749 - acc: 0.7648 - val_loss: 0.4946 - val_acc: 0.7478
Epoch 18/30
1/102 [..............................] - ETA: 0s - loss: 0.4948 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.4375 - acc: 0.7767
36/102 [=========>....................] - ETA: 0s - loss: 0.4598 - acc: 0.7733
53/102 [==============>...............] - ETA: 0s - loss: 0.4617 - acc: 0.7740
69/102 [===================>..........] - ETA: 0s - loss: 0.4680 - acc: 0.7690
88/102 [========================>.....] - ETA: 0s - loss: 0.4721 - acc: 0.7650
95/102 [==========================>...] - ETA: 0s - loss: 0.4724 - acc: 0.7644
102/102 [==============================] - 0s 3ms/step - loss: 0.4725 - acc: 0.7642
102/102 [==============================] - 1s 6ms/step - loss: 0.4725 - acc: 0.7642 - val_loss: 0.4913 - val_acc: 0.7584
Run completed: runs/2024-05-06T19-38-43Z
Training run 17/52 (flags = list(16, 16, 0.01, 20, 50, "relu", "relu", 0.2, 0.2))
Using run directory runs/2024-05-06T19-38-57Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 6:34 - loss: 0.7752 - acc: 0.4500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0012s vs `on_train_batch_end` time: 0.0295s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0012s vs `on_train_batch_end` time: 0.0295s). Check your callbacks.
18/254 [=>............................] - ETA: 0s - loss: 0.6977 - acc: 0.5083
39/254 [===>..........................] - ETA: 0s - loss: 0.6742 - acc: 0.5064
58/254 [=====>........................] - ETA: 0s - loss: 0.6645 - acc: 0.5483
76/254 [=======>......................] - ETA: 0s - loss: 0.6563 - acc: 0.5645
96/254 [==========>...................] - ETA: 0s - loss: 0.6395 - acc: 0.5927
115/254 [============>.................] - ETA: 0s - loss: 0.6300 - acc: 0.6065
134/254 [==============>...............] - ETA: 0s - loss: 0.6179 - acc: 0.6183
152/254 [================>.............] - ETA: 0s - loss: 0.6059 - acc: 0.6280
169/254 [==================>...........] - ETA: 0s - loss: 0.6043 - acc: 0.6352
189/254 [=====================>........] - ETA: 0s - loss: 0.5947 - acc: 0.6437
202/254 [======================>.......] - ETA: 0s - loss: 0.5895 - acc: 0.6485
207/254 [=======================>......] - ETA: 0s - loss: 0.5908 - acc: 0.6490
225/254 [=========================>....] - ETA: 0s - loss: 0.5896 - acc: 0.6511
236/254 [==========================>...] - ETA: 0s - loss: 0.5844 - acc: 0.6555
254/254 [==============================] - 2s 3ms/step - loss: 0.5794 - acc: 0.6598
254/254 [==============================] - 3s 7ms/step - loss: 0.5794 - acc: 0.6598 - val_loss: 0.4923 - val_acc: 0.7442
Epoch 2/50
1/254 [..............................] - ETA: 1s - loss: 0.4998 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5173 - acc: 0.7750
35/254 [===>..........................] - ETA: 0s - loss: 0.5279 - acc: 0.7543
53/254 [=====>........................] - ETA: 0s - loss: 0.5068 - acc: 0.7547
66/254 [======>.......................] - ETA: 0s - loss: 0.5171 - acc: 0.7470
83/254 [========>.....................] - ETA: 0s - loss: 0.5137 - acc: 0.7428
101/254 [==========>...................] - ETA: 0s - loss: 0.5039 - acc: 0.7446
120/254 [=============>................] - ETA: 0s - loss: 0.5121 - acc: 0.7412
140/254 [===============>..............] - ETA: 0s - loss: 0.5077 - acc: 0.7464
152/254 [================>.............] - ETA: 0s - loss: 0.5085 - acc: 0.7444
171/254 [===================>..........] - ETA: 0s - loss: 0.5107 - acc: 0.7447
184/254 [====================>.........] - ETA: 0s - loss: 0.5122 - acc: 0.7432
198/254 [======================>.......] - ETA: 0s - loss: 0.5117 - acc: 0.7424
217/254 [========================>.....] - ETA: 0s - loss: 0.5115 - acc: 0.7429
234/254 [==========================>...] - ETA: 0s - loss: 0.5127 - acc: 0.7423
253/254 [============================>.] - ETA: 0s - loss: 0.5145 - acc: 0.7411
254/254 [==============================] - 1s 3ms/step - loss: 0.5145 - acc: 0.7408
254/254 [==============================] - 1s 4ms/step - loss: 0.5145 - acc: 0.7408 - val_loss: 0.4991 - val_acc: 0.7460
Epoch 3/50
1/254 [..............................] - ETA: 1s - loss: 0.4890 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5113 - acc: 0.7368
39/254 [===>..........................] - ETA: 0s - loss: 0.5085 - acc: 0.7474
59/254 [=====>........................] - ETA: 0s - loss: 0.5113 - acc: 0.7407
77/254 [========>.....................] - ETA: 0s - loss: 0.5185 - acc: 0.7390
96/254 [==========>...................] - ETA: 0s - loss: 0.5204 - acc: 0.7359
114/254 [============>.................] - ETA: 0s - loss: 0.5129 - acc: 0.7360
131/254 [==============>...............] - ETA: 0s - loss: 0.5115 - acc: 0.7359
136/254 [===============>..............] - ETA: 0s - loss: 0.5154 - acc: 0.7349
155/254 [=================>............] - ETA: 0s - loss: 0.5140 - acc: 0.7371
165/254 [==================>...........] - ETA: 0s - loss: 0.5113 - acc: 0.7376
182/254 [====================>.........] - ETA: 0s - loss: 0.5054 - acc: 0.7404
199/254 [======================>.......] - ETA: 0s - loss: 0.5083 - acc: 0.7407
219/254 [========================>.....] - ETA: 0s - loss: 0.5070 - acc: 0.7384
236/254 [==========================>...] - ETA: 0s - loss: 0.5048 - acc: 0.7426
254/254 [==============================] - 1s 3ms/step - loss: 0.5085 - acc: 0.7420
254/254 [==============================] - 1s 4ms/step - loss: 0.5085 - acc: 0.7420 - val_loss: 0.5018 - val_acc: 0.7442
Epoch 4/50
1/254 [..............................] - ETA: 1s - loss: 0.7389 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.5220 - acc: 0.7306
39/254 [===>..........................] - ETA: 0s - loss: 0.4827 - acc: 0.7397
58/254 [=====>........................] - ETA: 0s - loss: 0.4981 - acc: 0.7353
76/254 [=======>......................] - ETA: 0s - loss: 0.5152 - acc: 0.7375
93/254 [=========>....................] - ETA: 0s - loss: 0.5072 - acc: 0.7349
101/254 [==========>...................] - ETA: 0s - loss: 0.5061 - acc: 0.7327
103/254 [===========>..................] - ETA: 0s - loss: 0.5050 - acc: 0.7335
123/254 [=============>................] - ETA: 0s - loss: 0.5080 - acc: 0.7325
135/254 [==============>...............] - ETA: 0s - loss: 0.5053 - acc: 0.7315
141/254 [===============>..............] - ETA: 0s - loss: 0.5065 - acc: 0.7316
161/254 [==================>...........] - ETA: 0s - loss: 0.5031 - acc: 0.7363
177/254 [===================>..........] - ETA: 0s - loss: 0.4985 - acc: 0.7398
196/254 [======================>.......] - ETA: 0s - loss: 0.4996 - acc: 0.7416
214/254 [========================>.....] - ETA: 0s - loss: 0.5059 - acc: 0.7421
234/254 [==========================>...] - ETA: 0s - loss: 0.5076 - acc: 0.7444
250/254 [============================>.] - ETA: 0s - loss: 0.5061 - acc: 0.7444
254/254 [==============================] - 1s 3ms/step - loss: 0.5051 - acc: 0.7435
254/254 [==============================] - 1s 5ms/step - loss: 0.5051 - acc: 0.7435 - val_loss: 0.5009 - val_acc: 0.7531
Epoch 5/50
1/254 [..............................] - ETA: 1s - loss: 0.3716 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4635 - acc: 0.7500
40/254 [===>..........................] - ETA: 0s - loss: 0.4705 - acc: 0.7563
59/254 [=====>........................] - ETA: 0s - loss: 0.4809 - acc: 0.7542
77/254 [========>.....................] - ETA: 0s - loss: 0.4854 - acc: 0.7591
94/254 [==========>...................] - ETA: 0s - loss: 0.4919 - acc: 0.7569
110/254 [===========>..................] - ETA: 0s - loss: 0.4946 - acc: 0.7564
129/254 [==============>...............] - ETA: 0s - loss: 0.4998 - acc: 0.7504
148/254 [================>.............] - ETA: 0s - loss: 0.4921 - acc: 0.7517
167/254 [==================>...........] - ETA: 0s - loss: 0.4971 - acc: 0.7548
186/254 [====================>.........] - ETA: 0s - loss: 0.4981 - acc: 0.7538
200/254 [======================>.......] - ETA: 0s - loss: 0.4927 - acc: 0.7555
220/254 [========================>.....] - ETA: 0s - loss: 0.4933 - acc: 0.7541
239/254 [===========================>..] - ETA: 0s - loss: 0.4974 - acc: 0.7540
254/254 [==============================] - 1s 3ms/step - loss: 0.4967 - acc: 0.7544
254/254 [==============================] - 1s 4ms/step - loss: 0.4967 - acc: 0.7544 - val_loss: 0.5043 - val_acc: 0.7407
Epoch 6/50
1/254 [..............................] - ETA: 0s - loss: 0.5817 - acc: 0.5500
19/254 [=>............................] - ETA: 0s - loss: 0.5544 - acc: 0.7000
39/254 [===>..........................] - ETA: 0s - loss: 0.5310 - acc: 0.7090
58/254 [=====>........................] - ETA: 0s - loss: 0.5154 - acc: 0.7241
69/254 [=======>......................] - ETA: 0s - loss: 0.5094 - acc: 0.7283
77/254 [========>.....................] - ETA: 0s - loss: 0.5072 - acc: 0.7344
95/254 [==========>...................] - ETA: 0s - loss: 0.4989 - acc: 0.7411
114/254 [============>.................] - ETA: 0s - loss: 0.5046 - acc: 0.7404
126/254 [=============>................] - ETA: 0s - loss: 0.5011 - acc: 0.7437
145/254 [================>.............] - ETA: 0s - loss: 0.5069 - acc: 0.7428
162/254 [==================>...........] - ETA: 0s - loss: 0.5063 - acc: 0.7423
180/254 [====================>.........] - ETA: 0s - loss: 0.5000 - acc: 0.7444
199/254 [======================>.......] - ETA: 0s - loss: 0.4977 - acc: 0.7465
216/254 [========================>.....] - ETA: 0s - loss: 0.4979 - acc: 0.7481
235/254 [==========================>...] - ETA: 0s - loss: 0.4993 - acc: 0.7451
254/254 [==============================] - 1s 3ms/step - loss: 0.4947 - acc: 0.7465
254/254 [==============================] - 1s 4ms/step - loss: 0.4947 - acc: 0.7465 - val_loss: 0.4906 - val_acc: 0.7584
Epoch 7/50
1/254 [..............................] - ETA: 1s - loss: 0.3821 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4602 - acc: 0.7694
37/254 [===>..........................] - ETA: 0s - loss: 0.4644 - acc: 0.7676
56/254 [=====>........................] - ETA: 0s - loss: 0.4562 - acc: 0.7625
75/254 [=======>......................] - ETA: 0s - loss: 0.4637 - acc: 0.7673
95/254 [==========>...................] - ETA: 0s - loss: 0.4720 - acc: 0.7679
103/254 [===========>..................] - ETA: 0s - loss: 0.4715 - acc: 0.7660
112/254 [============>.................] - ETA: 0s - loss: 0.4818 - acc: 0.7621
132/254 [==============>...............] - ETA: 0s - loss: 0.4909 - acc: 0.7545
148/254 [================>.............] - ETA: 0s - loss: 0.4892 - acc: 0.7530
168/254 [==================>...........] - ETA: 0s - loss: 0.4901 - acc: 0.7500
176/254 [===================>..........] - ETA: 0s - loss: 0.4920 - acc: 0.7474
194/254 [=====================>........] - ETA: 0s - loss: 0.4937 - acc: 0.7490
203/254 [======================>.......] - ETA: 0s - loss: 0.4952 - acc: 0.7470
222/254 [=========================>....] - ETA: 0s - loss: 0.4935 - acc: 0.7439
242/254 [===========================>..] - ETA: 0s - loss: 0.4968 - acc: 0.7428
254/254 [==============================] - 1s 3ms/step - loss: 0.4952 - acc: 0.7445
254/254 [==============================] - 1s 5ms/step - loss: 0.4952 - acc: 0.7445 - val_loss: 0.4913 - val_acc: 0.7549
Epoch 8/50
1/254 [..............................] - ETA: 0s - loss: 0.5508 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.4935 - acc: 0.7184
34/254 [===>..........................] - ETA: 0s - loss: 0.4939 - acc: 0.7250
43/254 [====>.........................] - ETA: 0s - loss: 0.4959 - acc: 0.7360
51/254 [=====>........................] - ETA: 0s - loss: 0.4975 - acc: 0.7431
68/254 [=======>......................] - ETA: 0s - loss: 0.4996 - acc: 0.7544
86/254 [=========>....................] - ETA: 0s - loss: 0.5016 - acc: 0.7523
106/254 [===========>..................] - ETA: 0s - loss: 0.5077 - acc: 0.7420
123/254 [=============>................] - ETA: 0s - loss: 0.4955 - acc: 0.7492
143/254 [===============>..............] - ETA: 0s - loss: 0.4894 - acc: 0.7545
162/254 [==================>...........] - ETA: 0s - loss: 0.4887 - acc: 0.7568
182/254 [====================>.........] - ETA: 0s - loss: 0.4913 - acc: 0.7544
197/254 [======================>.......] - ETA: 0s - loss: 0.4858 - acc: 0.7566
217/254 [========================>.....] - ETA: 0s - loss: 0.4912 - acc: 0.7551
237/254 [==========================>...] - ETA: 0s - loss: 0.4917 - acc: 0.7555
254/254 [==============================] - 1s 3ms/step - loss: 0.4925 - acc: 0.7542
254/254 [==============================] - 1s 4ms/step - loss: 0.4925 - acc: 0.7542 - val_loss: 0.4966 - val_acc: 0.7567
Epoch 9/50
1/254 [..............................] - ETA: 4s - loss: 0.6286 - acc: 0.6500
11/254 [>.............................] - ETA: 1s - loss: 0.5239 - acc: 0.6955
22/254 [=>............................] - ETA: 1s - loss: 0.5241 - acc: 0.7182
37/254 [===>..........................] - ETA: 0s - loss: 0.5228 - acc: 0.7338
55/254 [=====>........................] - ETA: 0s - loss: 0.5210 - acc: 0.7355
70/254 [=======>......................] - ETA: 0s - loss: 0.5189 - acc: 0.7386
88/254 [=========>....................] - ETA: 0s - loss: 0.5179 - acc: 0.7381
105/254 [===========>..................] - ETA: 0s - loss: 0.5076 - acc: 0.7395
124/254 [=============>................] - ETA: 0s - loss: 0.5116 - acc: 0.7351
142/254 [===============>..............] - ETA: 0s - loss: 0.5018 - acc: 0.7437
160/254 [=================>............] - ETA: 0s - loss: 0.4950 - acc: 0.7509
180/254 [====================>.........] - ETA: 0s - loss: 0.4920 - acc: 0.7522
201/254 [======================>.......] - ETA: 0s - loss: 0.4931 - acc: 0.7505
220/254 [========================>.....] - ETA: 0s - loss: 0.4911 - acc: 0.7530
240/254 [===========================>..] - ETA: 0s - loss: 0.4906 - acc: 0.7538
254/254 [==============================] - 1s 3ms/step - loss: 0.4897 - acc: 0.7534
254/254 [==============================] - 1s 4ms/step - loss: 0.4897 - acc: 0.7534 - val_loss: 0.4944 - val_acc: 0.7584
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 1.0009 - acc: 0.6000
13/254 [>.............................] - ETA: 1s - loss: 0.5710 - acc: 0.7192
24/254 [=>............................] - ETA: 1s - loss: 0.5280 - acc: 0.7375
42/254 [===>..........................] - ETA: 1s - loss: 0.5078 - acc: 0.7536
48/254 [====>.........................] - ETA: 1s - loss: 0.5000 - acc: 0.7552
67/254 [======>.......................] - ETA: 0s - loss: 0.4983 - acc: 0.7552
85/254 [=========>....................] - ETA: 0s - loss: 0.5023 - acc: 0.7565
104/254 [===========>..................] - ETA: 0s - loss: 0.5010 - acc: 0.7591
122/254 [=============>................] - ETA: 0s - loss: 0.4964 - acc: 0.7574
142/254 [===============>..............] - ETA: 0s - loss: 0.4985 - acc: 0.7549
161/254 [==================>...........] - ETA: 0s - loss: 0.4934 - acc: 0.7568
179/254 [====================>.........] - ETA: 0s - loss: 0.4943 - acc: 0.7561
198/254 [======================>.......] - ETA: 0s - loss: 0.4992 - acc: 0.7518
218/254 [========================>.....] - ETA: 0s - loss: 0.5004 - acc: 0.7511
236/254 [==========================>...] - ETA: 0s - loss: 0.4992 - acc: 0.7551
253/254 [============================>.] - ETA: 0s - loss: 0.4970 - acc: 0.7557
254/254 [==============================] - 1s 3ms/step - loss: 0.4972 - acc: 0.7554
254/254 [==============================] - 1s 5ms/step - loss: 0.4972 - acc: 0.7554 - val_loss: 0.5046 - val_acc: 0.7442
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.2858 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4949 - acc: 0.7500
38/254 [===>..........................] - ETA: 0s - loss: 0.4598 - acc: 0.7697
59/254 [=====>........................] - ETA: 0s - loss: 0.4827 - acc: 0.7542
79/254 [========>.....................] - ETA: 0s - loss: 0.4721 - acc: 0.7633
99/254 [==========>...................] - ETA: 0s - loss: 0.4778 - acc: 0.7586
119/254 [=============>................] - ETA: 0s - loss: 0.4864 - acc: 0.7584
139/254 [===============>..............] - ETA: 0s - loss: 0.4848 - acc: 0.7572
156/254 [=================>............] - ETA: 0s - loss: 0.4871 - acc: 0.7551
176/254 [===================>..........] - ETA: 0s - loss: 0.4901 - acc: 0.7534
193/254 [=====================>........] - ETA: 0s - loss: 0.4887 - acc: 0.7539
213/254 [========================>.....] - ETA: 0s - loss: 0.4855 - acc: 0.7535
234/254 [==========================>...] - ETA: 0s - loss: 0.4856 - acc: 0.7528
251/254 [============================>.] - ETA: 0s - loss: 0.4825 - acc: 0.7544
254/254 [==============================] - 1s 3ms/step - loss: 0.4822 - acc: 0.7548
254/254 [==============================] - 1s 4ms/step - loss: 0.4822 - acc: 0.7548 - val_loss: 0.4826 - val_acc: 0.7584
Epoch 12/50
1/254 [..............................] - ETA: 1s - loss: 0.3373 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4577 - acc: 0.8139
38/254 [===>..........................] - ETA: 0s - loss: 0.4819 - acc: 0.7842
56/254 [=====>........................] - ETA: 0s - loss: 0.4895 - acc: 0.7759
76/254 [=======>......................] - ETA: 0s - loss: 0.4917 - acc: 0.7684
97/254 [==========>...................] - ETA: 0s - loss: 0.4906 - acc: 0.7613
116/254 [============>.................] - ETA: 0s - loss: 0.4870 - acc: 0.7578
136/254 [===============>..............] - ETA: 0s - loss: 0.4951 - acc: 0.7526
157/254 [=================>............] - ETA: 0s - loss: 0.4926 - acc: 0.7529
177/254 [===================>..........] - ETA: 0s - loss: 0.4926 - acc: 0.7531
196/254 [======================>.......] - ETA: 0s - loss: 0.4946 - acc: 0.7533
216/254 [========================>.....] - ETA: 0s - loss: 0.4964 - acc: 0.7558
232/254 [==========================>...] - ETA: 0s - loss: 0.4930 - acc: 0.7541
248/254 [============================>.] - ETA: 0s - loss: 0.4894 - acc: 0.7560
254/254 [==============================] - 1s 3ms/step - loss: 0.4879 - acc: 0.7564
254/254 [==============================] - 1s 4ms/step - loss: 0.4879 - acc: 0.7564 - val_loss: 0.4885 - val_acc: 0.7602
Epoch 13/50
1/254 [..............................] - ETA: 0s - loss: 0.3755 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4836 - acc: 0.7579
39/254 [===>..........................] - ETA: 0s - loss: 0.4577 - acc: 0.7846
59/254 [=====>........................] - ETA: 0s - loss: 0.4644 - acc: 0.7754
78/254 [========>.....................] - ETA: 0s - loss: 0.4784 - acc: 0.7654
95/254 [==========>...................] - ETA: 0s - loss: 0.4749 - acc: 0.7684
115/254 [============>.................] - ETA: 0s - loss: 0.4731 - acc: 0.7735
133/254 [==============>...............] - ETA: 0s - loss: 0.4699 - acc: 0.7695
153/254 [=================>............] - ETA: 0s - loss: 0.4803 - acc: 0.7605
172/254 [===================>..........] - ETA: 0s - loss: 0.4825 - acc: 0.7619
190/254 [=====================>........] - ETA: 0s - loss: 0.4857 - acc: 0.7579
210/254 [=======================>......] - ETA: 0s - loss: 0.4865 - acc: 0.7569
218/254 [========================>.....] - ETA: 0s - loss: 0.4858 - acc: 0.7571
237/254 [==========================>...] - ETA: 0s - loss: 0.4824 - acc: 0.7568
254/254 [==============================] - 1s 3ms/step - loss: 0.4808 - acc: 0.7583
254/254 [==============================] - 1s 4ms/step - loss: 0.4808 - acc: 0.7583 - val_loss: 0.4801 - val_acc: 0.7602
Epoch 14/50
1/254 [..............................] - ETA: 1s - loss: 0.5025 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4887 - acc: 0.7528
38/254 [===>..........................] - ETA: 0s - loss: 0.4909 - acc: 0.7526
58/254 [=====>........................] - ETA: 0s - loss: 0.4787 - acc: 0.7647
77/254 [========>.....................] - ETA: 0s - loss: 0.4795 - acc: 0.7578
97/254 [==========>...................] - ETA: 0s - loss: 0.4772 - acc: 0.7629
113/254 [============>.................] - ETA: 0s - loss: 0.4752 - acc: 0.7655
132/254 [==============>...............] - ETA: 0s - loss: 0.4771 - acc: 0.7610
152/254 [================>.............] - ETA: 0s - loss: 0.4910 - acc: 0.7566
171/254 [===================>..........] - ETA: 0s - loss: 0.4898 - acc: 0.7529
190/254 [=====================>........] - ETA: 0s - loss: 0.4923 - acc: 0.7521
207/254 [=======================>......] - ETA: 0s - loss: 0.4918 - acc: 0.7505
215/254 [========================>.....] - ETA: 0s - loss: 0.4932 - acc: 0.7509
233/254 [==========================>...] - ETA: 0s - loss: 0.4880 - acc: 0.7524
251/254 [============================>.] - ETA: 0s - loss: 0.4850 - acc: 0.7552
254/254 [==============================] - 1s 3ms/step - loss: 0.4856 - acc: 0.7554
254/254 [==============================] - 1s 4ms/step - loss: 0.4856 - acc: 0.7554 - val_loss: 0.4909 - val_acc: 0.7513
Epoch 15/50
1/254 [..............................] - ETA: 0s - loss: 0.4667 - acc: 0.7500
16/254 [>.............................] - ETA: 0s - loss: 0.5126 - acc: 0.7406
36/254 [===>..........................] - ETA: 0s - loss: 0.4664 - acc: 0.7694
56/254 [=====>........................] - ETA: 0s - loss: 0.4701 - acc: 0.7670
76/254 [=======>......................] - ETA: 0s - loss: 0.5008 - acc: 0.7684
96/254 [==========>...................] - ETA: 0s - loss: 0.4970 - acc: 0.7677
114/254 [============>.................] - ETA: 0s - loss: 0.4933 - acc: 0.7697
134/254 [==============>...............] - ETA: 0s - loss: 0.4896 - acc: 0.7664
152/254 [================>.............] - ETA: 0s - loss: 0.4937 - acc: 0.7661
172/254 [===================>..........] - ETA: 0s - loss: 0.4886 - acc: 0.7677
180/254 [====================>.........] - ETA: 0s - loss: 0.4888 - acc: 0.7656
185/254 [====================>.........] - ETA: 0s - loss: 0.4892 - acc: 0.7659
203/254 [======================>.......] - ETA: 0s - loss: 0.4880 - acc: 0.7635
219/254 [========================>.....] - ETA: 0s - loss: 0.4894 - acc: 0.7610
236/254 [==========================>...] - ETA: 0s - loss: 0.4864 - acc: 0.7602
246/254 [============================>.] - ETA: 0s - loss: 0.4864 - acc: 0.7616
254/254 [==============================] - 1s 3ms/step - loss: 0.4852 - acc: 0.7613
254/254 [==============================] - 1s 4ms/step - loss: 0.4852 - acc: 0.7613 - val_loss: 0.4760 - val_acc: 0.7620
Epoch 16/50
1/254 [..............................] - ETA: 0s - loss: 0.5749 - acc: 0.5500
18/254 [=>............................] - ETA: 0s - loss: 0.4675 - acc: 0.7750
39/254 [===>..........................] - ETA: 0s - loss: 0.4543 - acc: 0.7833
58/254 [=====>........................] - ETA: 0s - loss: 0.4676 - acc: 0.7750
76/254 [=======>......................] - ETA: 0s - loss: 0.4782 - acc: 0.7612
94/254 [==========>...................] - ETA: 0s - loss: 0.4828 - acc: 0.7644
114/254 [============>.................] - ETA: 0s - loss: 0.4803 - acc: 0.7588
133/254 [==============>...............] - ETA: 0s - loss: 0.4768 - acc: 0.7598
151/254 [================>.............] - ETA: 0s - loss: 0.4797 - acc: 0.7626
171/254 [===================>..........] - ETA: 0s - loss: 0.4837 - acc: 0.7605
190/254 [=====================>........] - ETA: 0s - loss: 0.4830 - acc: 0.7613
209/254 [=======================>......] - ETA: 0s - loss: 0.4832 - acc: 0.7629
228/254 [=========================>....] - ETA: 0s - loss: 0.4858 - acc: 0.7647
246/254 [============================>.] - ETA: 0s - loss: 0.4866 - acc: 0.7632
254/254 [==============================] - 1s 3ms/step - loss: 0.4836 - acc: 0.7650
254/254 [==============================] - 1s 4ms/step - loss: 0.4836 - acc: 0.7650 - val_loss: 0.4949 - val_acc: 0.7478
Epoch 17/50
1/254 [..............................] - ETA: 0s - loss: 0.5360 - acc: 0.7000
16/254 [>.............................] - ETA: 0s - loss: 0.4493 - acc: 0.7812
28/254 [==>...........................] - ETA: 0s - loss: 0.4600 - acc: 0.7714
46/254 [====>.........................] - ETA: 0s - loss: 0.4853 - acc: 0.7565
60/254 [======>.......................] - ETA: 0s - loss: 0.4917 - acc: 0.7508
80/254 [========>.....................] - ETA: 0s - loss: 0.4899 - acc: 0.7513
96/254 [==========>...................] - ETA: 0s - loss: 0.4906 - acc: 0.7469
114/254 [============>.................] - ETA: 0s - loss: 0.4884 - acc: 0.7500
132/254 [==============>...............] - ETA: 0s - loss: 0.4866 - acc: 0.7534
152/254 [================>.............] - ETA: 0s - loss: 0.4877 - acc: 0.7539
172/254 [===================>..........] - ETA: 0s - loss: 0.4867 - acc: 0.7544
191/254 [=====================>........] - ETA: 0s - loss: 0.4890 - acc: 0.7534
202/254 [======================>.......] - ETA: 0s - loss: 0.4907 - acc: 0.7542
218/254 [========================>.....] - ETA: 0s - loss: 0.4895 - acc: 0.7578
235/254 [==========================>...] - ETA: 0s - loss: 0.4861 - acc: 0.7591
252/254 [============================>.] - ETA: 0s - loss: 0.4864 - acc: 0.7601
254/254 [==============================] - 1s 3ms/step - loss: 0.4855 - acc: 0.7607
254/254 [==============================] - 1s 4ms/step - loss: 0.4855 - acc: 0.7607 - val_loss: 0.4963 - val_acc: 0.7496
Epoch 18/50
1/254 [..............................] - ETA: 0s - loss: 0.4944 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4983 - acc: 0.7421
39/254 [===>..........................] - ETA: 0s - loss: 0.4698 - acc: 0.7551
59/254 [=====>........................] - ETA: 0s - loss: 0.4827 - acc: 0.7542
79/254 [========>.....................] - ETA: 0s - loss: 0.4847 - acc: 0.7506
96/254 [==========>...................] - ETA: 0s - loss: 0.4827 - acc: 0.7547
113/254 [============>.................] - ETA: 0s - loss: 0.4795 - acc: 0.7558
134/254 [==============>...............] - ETA: 0s - loss: 0.4844 - acc: 0.7556
152/254 [================>.............] - ETA: 0s - loss: 0.4799 - acc: 0.7579
170/254 [===================>..........] - ETA: 0s - loss: 0.4864 - acc: 0.7571
184/254 [====================>.........] - ETA: 0s - loss: 0.4843 - acc: 0.7571
200/254 [======================>.......] - ETA: 0s - loss: 0.4804 - acc: 0.7615
202/254 [======================>.......] - ETA: 0s - loss: 0.4801 - acc: 0.7614
219/254 [========================>.....] - ETA: 0s - loss: 0.4776 - acc: 0.7607
237/254 [==========================>...] - ETA: 0s - loss: 0.4786 - acc: 0.7612
247/254 [============================>.] - ETA: 0s - loss: 0.4818 - acc: 0.7579
254/254 [==============================] - 1s 3ms/step - loss: 0.4803 - acc: 0.7575
254/254 [==============================] - 1s 4ms/step - loss: 0.4803 - acc: 0.7575 - val_loss: 0.4778 - val_acc: 0.7602
Epoch 19/50
1/254 [..............................] - ETA: 1s - loss: 0.3882 - acc: 0.9000
19/254 [=>............................] - ETA: 0s - loss: 0.4945 - acc: 0.7684
39/254 [===>..........................] - ETA: 0s - loss: 0.4895 - acc: 0.7667
58/254 [=====>........................] - ETA: 0s - loss: 0.4909 - acc: 0.7690
76/254 [=======>......................] - ETA: 0s - loss: 0.4963 - acc: 0.7618
95/254 [==========>...................] - ETA: 0s - loss: 0.5013 - acc: 0.7547
115/254 [============>.................] - ETA: 0s - loss: 0.4834 - acc: 0.7648
134/254 [==============>...............] - ETA: 0s - loss: 0.4834 - acc: 0.7634
148/254 [================>.............] - ETA: 0s - loss: 0.4882 - acc: 0.7632
164/254 [==================>...........] - ETA: 0s - loss: 0.4860 - acc: 0.7601
183/254 [====================>.........] - ETA: 0s - loss: 0.4828 - acc: 0.7609
195/254 [======================>.......] - ETA: 0s - loss: 0.4833 - acc: 0.7623
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222/254 [=========================>....] - ETA: 0s - loss: 0.4859 - acc: 0.7633
240/254 [===========================>..] - ETA: 0s - loss: 0.4848 - acc: 0.7627
254/254 [==============================] - 1s 3ms/step - loss: 0.4831 - acc: 0.7633
254/254 [==============================] - 1s 4ms/step - loss: 0.4831 - acc: 0.7633 - val_loss: 0.4803 - val_acc: 0.7584
Epoch 20/50
1/254 [..............................] - ETA: 0s - loss: 0.6879 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.5670 - acc: 0.7132
38/254 [===>..........................] - ETA: 0s - loss: 0.5278 - acc: 0.7382
58/254 [=====>........................] - ETA: 0s - loss: 0.5043 - acc: 0.7466
76/254 [=======>......................] - ETA: 0s - loss: 0.4885 - acc: 0.7566
93/254 [=========>....................] - ETA: 0s - loss: 0.4907 - acc: 0.7554
113/254 [============>.................] - ETA: 0s - loss: 0.4892 - acc: 0.7593
132/254 [==============>...............] - ETA: 0s - loss: 0.4876 - acc: 0.7625
139/254 [===============>..............] - ETA: 0s - loss: 0.4802 - acc: 0.7662
157/254 [=================>............] - ETA: 0s - loss: 0.4824 - acc: 0.7640
174/254 [===================>..........] - ETA: 0s - loss: 0.4783 - acc: 0.7632
193/254 [=====================>........] - ETA: 0s - loss: 0.4810 - acc: 0.7650
212/254 [========================>.....] - ETA: 0s - loss: 0.4831 - acc: 0.7634
230/254 [==========================>...] - ETA: 0s - loss: 0.4878 - acc: 0.7635
249/254 [============================>.] - ETA: 0s - loss: 0.4844 - acc: 0.7645
254/254 [==============================] - 1s 3ms/step - loss: 0.4825 - acc: 0.7656
254/254 [==============================] - 1s 4ms/step - loss: 0.4825 - acc: 0.7656 - val_loss: 0.4950 - val_acc: 0.7496
Epoch 21/50
1/254 [..............................] - ETA: 0s - loss: 0.6170 - acc: 0.5500
20/254 [=>............................] - ETA: 0s - loss: 0.4741 - acc: 0.7725
40/254 [===>..........................] - ETA: 0s - loss: 0.4883 - acc: 0.7563
59/254 [=====>........................] - ETA: 0s - loss: 0.4842 - acc: 0.7568
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90/254 [=========>....................] - ETA: 0s - loss: 0.4794 - acc: 0.7628
106/254 [===========>..................] - ETA: 0s - loss: 0.4711 - acc: 0.7632
120/254 [=============>................] - ETA: 0s - loss: 0.4700 - acc: 0.7692
131/254 [==============>...............] - ETA: 0s - loss: 0.4659 - acc: 0.7702
138/254 [===============>..............] - ETA: 0s - loss: 0.4727 - acc: 0.7674
153/254 [=================>............] - ETA: 0s - loss: 0.4712 - acc: 0.7650
166/254 [==================>...........] - ETA: 0s - loss: 0.4700 - acc: 0.7672
185/254 [====================>.........] - ETA: 0s - loss: 0.4722 - acc: 0.7651
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221/254 [=========================>....] - ETA: 0s - loss: 0.4764 - acc: 0.7588
241/254 [===========================>..] - ETA: 0s - loss: 0.4793 - acc: 0.7546
254/254 [==============================] - 1s 3ms/step - loss: 0.4794 - acc: 0.7556
254/254 [==============================] - 1s 4ms/step - loss: 0.4794 - acc: 0.7556 - val_loss: 0.4796 - val_acc: 0.7726
Epoch 22/50
1/254 [..............................] - ETA: 0s - loss: 0.6260 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.4510 - acc: 0.7889
39/254 [===>..........................] - ETA: 0s - loss: 0.4727 - acc: 0.7628
56/254 [=====>........................] - ETA: 0s - loss: 0.4911 - acc: 0.7607
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254/254 [==============================] - 1s 3ms/step - loss: 0.4836 - acc: 0.7619
254/254 [==============================] - 1s 4ms/step - loss: 0.4836 - acc: 0.7619 - val_loss: 0.4821 - val_acc: 0.7673
Epoch 23/50
1/254 [..............................] - ETA: 0s - loss: 0.3677 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4249 - acc: 0.8158
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247/254 [============================>.] - ETA: 0s - loss: 0.4845 - acc: 0.7678
254/254 [==============================] - 1s 3ms/step - loss: 0.4820 - acc: 0.7688
254/254 [==============================] - 1s 4ms/step - loss: 0.4820 - acc: 0.7688 - val_loss: 0.4773 - val_acc: 0.7744
Epoch 24/50
1/254 [..............................] - ETA: 0s - loss: 0.4390 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.5182 - acc: 0.7556
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66/254 [======>.......................] - ETA: 0s - loss: 0.4657 - acc: 0.7742
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104/254 [===========>..................] - ETA: 0s - loss: 0.4620 - acc: 0.7731
121/254 [=============>................] - ETA: 0s - loss: 0.4676 - acc: 0.7682
139/254 [===============>..............] - ETA: 0s - loss: 0.4746 - acc: 0.7676
156/254 [=================>............] - ETA: 0s - loss: 0.4718 - acc: 0.7715
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209/254 [=======================>......] - ETA: 0s - loss: 0.4740 - acc: 0.7694
228/254 [=========================>....] - ETA: 0s - loss: 0.4742 - acc: 0.7684
247/254 [============================>.] - ETA: 0s - loss: 0.4771 - acc: 0.7664
254/254 [==============================] - 1s 3ms/step - loss: 0.4775 - acc: 0.7666
254/254 [==============================] - 1s 4ms/step - loss: 0.4775 - acc: 0.7666 - val_loss: 0.4847 - val_acc: 0.7584
Epoch 25/50
1/254 [..............................] - ETA: 0s - loss: 0.4007 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4748 - acc: 0.7889
25/254 [=>............................] - ETA: 0s - loss: 0.4484 - acc: 0.8000
42/254 [===>..........................] - ETA: 0s - loss: 0.4570 - acc: 0.7845
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222/254 [=========================>....] - ETA: 0s - loss: 0.4795 - acc: 0.7631
240/254 [===========================>..] - ETA: 0s - loss: 0.4773 - acc: 0.7646
254/254 [==============================] - 1s 3ms/step - loss: 0.4761 - acc: 0.7633
254/254 [==============================] - 1s 4ms/step - loss: 0.4761 - acc: 0.7633 - val_loss: 0.4781 - val_acc: 0.7567
Run completed: runs/2024-05-06T19-38-57Z
Training run 18/52 (flags = list(16, 32, 0.001, 20, 50, "relu", "tanh", 0.5, 0.2))
Using run directory runs/2024-05-06T19-39-26Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:05 - loss: 0.6797 - acc: 0.6500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0012s vs `on_train_batch_end` time: 0.0290s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0012s vs `on_train_batch_end` time: 0.0290s). Check your callbacks.
20/254 [=>............................] - ETA: 0s - loss: 0.6851 - acc: 0.5225
39/254 [===>..........................] - ETA: 0s - loss: 0.6648 - acc: 0.5577
58/254 [=====>........................] - ETA: 0s - loss: 0.6441 - acc: 0.5828
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236/254 [==========================>...] - ETA: 0s - loss: 0.5955 - acc: 0.6729
253/254 [============================>.] - ETA: 0s - loss: 0.5975 - acc: 0.6717
254/254 [==============================] - 2s 3ms/step - loss: 0.5978 - acc: 0.6716
254/254 [==============================] - 3s 7ms/step - loss: 0.5978 - acc: 0.6716 - val_loss: 0.5173 - val_acc: 0.7336
Epoch 2/50
1/254 [..............................] - ETA: 1s - loss: 0.5783 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.5449 - acc: 0.7167
37/254 [===>..........................] - ETA: 0s - loss: 0.5281 - acc: 0.7122
56/254 [=====>........................] - ETA: 0s - loss: 0.5322 - acc: 0.7107
71/254 [=======>......................] - ETA: 0s - loss: 0.5409 - acc: 0.7127
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111/254 [============>.................] - ETA: 0s - loss: 0.5399 - acc: 0.7297
122/254 [=============>................] - ETA: 0s - loss: 0.5376 - acc: 0.7320
139/254 [===============>..............] - ETA: 0s - loss: 0.5346 - acc: 0.7313
156/254 [=================>............] - ETA: 0s - loss: 0.5388 - acc: 0.7301
169/254 [==================>...........] - ETA: 0s - loss: 0.5389 - acc: 0.7281
186/254 [====================>.........] - ETA: 0s - loss: 0.5426 - acc: 0.7250
205/254 [=======================>......] - ETA: 0s - loss: 0.5448 - acc: 0.7259
224/254 [=========================>....] - ETA: 0s - loss: 0.5434 - acc: 0.7277
239/254 [===========================>..] - ETA: 0s - loss: 0.5434 - acc: 0.7297
254/254 [==============================] - 1s 3ms/step - loss: 0.5409 - acc: 0.7301
254/254 [==============================] - 1s 4ms/step - loss: 0.5409 - acc: 0.7301 - val_loss: 0.5141 - val_acc: 0.7336
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.5637 - acc: 0.5000
20/254 [=>............................] - ETA: 0s - loss: 0.5314 - acc: 0.7475
37/254 [===>..........................] - ETA: 0s - loss: 0.5099 - acc: 0.7730
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91/254 [=========>....................] - ETA: 0s - loss: 0.5257 - acc: 0.7522
102/254 [===========>..................] - ETA: 0s - loss: 0.5251 - acc: 0.7534
112/254 [============>.................] - ETA: 0s - loss: 0.5229 - acc: 0.7531
129/254 [==============>...............] - ETA: 0s - loss: 0.5187 - acc: 0.7527
139/254 [===============>..............] - ETA: 0s - loss: 0.5214 - acc: 0.7507
158/254 [=================>............] - ETA: 0s - loss: 0.5174 - acc: 0.7532
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191/254 [=====================>........] - ETA: 0s - loss: 0.5147 - acc: 0.7497
209/254 [=======================>......] - ETA: 0s - loss: 0.5223 - acc: 0.7459
228/254 [=========================>....] - ETA: 0s - loss: 0.5218 - acc: 0.7461
247/254 [============================>.] - ETA: 0s - loss: 0.5164 - acc: 0.7480
254/254 [==============================] - 1s 3ms/step - loss: 0.5189 - acc: 0.7481
254/254 [==============================] - 1s 5ms/step - loss: 0.5189 - acc: 0.7481 - val_loss: 0.5041 - val_acc: 0.7531
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.7149 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.5435 - acc: 0.7132
32/254 [==>...........................] - ETA: 0s - loss: 0.5339 - acc: 0.7344
48/254 [====>.........................] - ETA: 0s - loss: 0.5308 - acc: 0.7344
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71/254 [=======>......................] - ETA: 0s - loss: 0.5325 - acc: 0.7415
87/254 [=========>....................] - ETA: 0s - loss: 0.5383 - acc: 0.7333
105/254 [===========>..................] - ETA: 0s - loss: 0.5365 - acc: 0.7338
122/254 [=============>................] - ETA: 0s - loss: 0.5351 - acc: 0.7348
141/254 [===============>..............] - ETA: 0s - loss: 0.5307 - acc: 0.7330
160/254 [=================>............] - ETA: 0s - loss: 0.5270 - acc: 0.7397
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195/254 [======================>.......] - ETA: 0s - loss: 0.5205 - acc: 0.7446
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235/254 [==========================>...] - ETA: 0s - loss: 0.5195 - acc: 0.7421
252/254 [============================>.] - ETA: 0s - loss: 0.5181 - acc: 0.7444
254/254 [==============================] - 1s 3ms/step - loss: 0.5175 - acc: 0.7447
254/254 [==============================] - 1s 4ms/step - loss: 0.5175 - acc: 0.7447 - val_loss: 0.4816 - val_acc: 0.7691
Epoch 5/50
1/254 [..............................] - ETA: 0s - loss: 0.5142 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.5167 - acc: 0.7361
26/254 [==>...........................] - ETA: 1s - loss: 0.4974 - acc: 0.7462
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101/254 [==========>...................] - ETA: 0s - loss: 0.5053 - acc: 0.7584
118/254 [============>.................] - ETA: 0s - loss: 0.5051 - acc: 0.7593
137/254 [===============>..............] - ETA: 0s - loss: 0.5062 - acc: 0.7547
155/254 [=================>............] - ETA: 0s - loss: 0.5108 - acc: 0.7497
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229/254 [==========================>...] - ETA: 0s - loss: 0.5116 - acc: 0.7493
247/254 [============================>.] - ETA: 0s - loss: 0.5081 - acc: 0.7502
254/254 [==============================] - 1s 3ms/step - loss: 0.5093 - acc: 0.7499
254/254 [==============================] - 1s 4ms/step - loss: 0.5093 - acc: 0.7499 - val_loss: 0.4952 - val_acc: 0.7549
Epoch 6/50
1/254 [..............................] - ETA: 6s - loss: 0.5425 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4830 - acc: 0.7583
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31/254 [==>...........................] - ETA: 1s - loss: 0.4710 - acc: 0.7661
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121/254 [=============>................] - ETA: 0s - loss: 0.4857 - acc: 0.7682
141/254 [===============>..............] - ETA: 0s - loss: 0.4813 - acc: 0.7720
161/254 [==================>...........] - ETA: 0s - loss: 0.4840 - acc: 0.7717
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249/254 [============================>.] - ETA: 0s - loss: 0.5011 - acc: 0.7558
254/254 [==============================] - 1s 4ms/step - loss: 0.5037 - acc: 0.7534
254/254 [==============================] - 1s 5ms/step - loss: 0.5037 - acc: 0.7534 - val_loss: 0.5028 - val_acc: 0.7442
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.4321 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.5285 - acc: 0.7368
39/254 [===>..........................] - ETA: 0s - loss: 0.5145 - acc: 0.7423
58/254 [=====>........................] - ETA: 0s - loss: 0.5232 - acc: 0.7371
76/254 [=======>......................] - ETA: 0s - loss: 0.5091 - acc: 0.7388
96/254 [==========>...................] - ETA: 0s - loss: 0.5018 - acc: 0.7505
115/254 [============>.................] - ETA: 0s - loss: 0.5065 - acc: 0.7452
135/254 [==============>...............] - ETA: 0s - loss: 0.5081 - acc: 0.7467
154/254 [=================>............] - ETA: 0s - loss: 0.5081 - acc: 0.7503
173/254 [===================>..........] - ETA: 0s - loss: 0.5113 - acc: 0.7454
192/254 [=====================>........] - ETA: 0s - loss: 0.5078 - acc: 0.7479
209/254 [=======================>......] - ETA: 0s - loss: 0.5015 - acc: 0.7478
228/254 [=========================>....] - ETA: 0s - loss: 0.4980 - acc: 0.7476
248/254 [============================>.] - ETA: 0s - loss: 0.4984 - acc: 0.7502
254/254 [==============================] - 1s 3ms/step - loss: 0.4996 - acc: 0.7500
254/254 [==============================] - 1s 4ms/step - loss: 0.4996 - acc: 0.7500 - val_loss: 0.4911 - val_acc: 0.7531
Epoch 8/50
1/254 [..............................] - ETA: 0s - loss: 0.2969 - acc: 0.8500
20/254 [=>............................] - ETA: 0s - loss: 0.4748 - acc: 0.7775
41/254 [===>..........................] - ETA: 0s - loss: 0.4882 - acc: 0.7537
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70/254 [=======>......................] - ETA: 0s - loss: 0.4740 - acc: 0.7607
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137/254 [===============>..............] - ETA: 0s - loss: 0.4819 - acc: 0.7599
155/254 [=================>............] - ETA: 0s - loss: 0.4852 - acc: 0.7616
175/254 [===================>..........] - ETA: 0s - loss: 0.4907 - acc: 0.7589
195/254 [======================>.......] - ETA: 0s - loss: 0.4928 - acc: 0.7526
215/254 [========================>.....] - ETA: 0s - loss: 0.4943 - acc: 0.7540
235/254 [==========================>...] - ETA: 0s - loss: 0.4966 - acc: 0.7509
254/254 [==============================] - 1s 3ms/step - loss: 0.4969 - acc: 0.7520
254/254 [==============================] - 1s 4ms/step - loss: 0.4969 - acc: 0.7520 - val_loss: 0.4994 - val_acc: 0.7531
Epoch 9/50
1/254 [..............................] - ETA: 1s - loss: 0.4879 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5134 - acc: 0.7316
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58/254 [=====>........................] - ETA: 0s - loss: 0.4988 - acc: 0.7431
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136/254 [===============>..............] - ETA: 0s - loss: 0.5003 - acc: 0.7529
152/254 [================>.............] - ETA: 0s - loss: 0.4992 - acc: 0.7503
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190/254 [=====================>........] - ETA: 0s - loss: 0.4983 - acc: 0.7518
210/254 [=======================>......] - ETA: 0s - loss: 0.5017 - acc: 0.7538
228/254 [=========================>....] - ETA: 0s - loss: 0.4998 - acc: 0.7559
246/254 [============================>.] - ETA: 0s - loss: 0.4967 - acc: 0.7573
254/254 [==============================] - 1s 3ms/step - loss: 0.4958 - acc: 0.7597
254/254 [==============================] - 1s 4ms/step - loss: 0.4958 - acc: 0.7597 - val_loss: 0.4793 - val_acc: 0.7638
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.3269 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.5035 - acc: 0.7263
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95/254 [==========>...................] - ETA: 0s - loss: 0.4856 - acc: 0.7658
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208/254 [=======================>......] - ETA: 0s - loss: 0.4931 - acc: 0.7608
227/254 [=========================>....] - ETA: 0s - loss: 0.4963 - acc: 0.7612
246/254 [============================>.] - ETA: 0s - loss: 0.4947 - acc: 0.7640
254/254 [==============================] - 1s 3ms/step - loss: 0.4955 - acc: 0.7637
254/254 [==============================] - 1s 4ms/step - loss: 0.4955 - acc: 0.7637 - val_loss: 0.5013 - val_acc: 0.7531
Epoch 11/50
1/254 [..............................] - ETA: 1s - loss: 0.4508 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4838 - acc: 0.7833
37/254 [===>..........................] - ETA: 0s - loss: 0.4918 - acc: 0.7635
55/254 [=====>........................] - ETA: 0s - loss: 0.4802 - acc: 0.7673
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112/254 [============>.................] - ETA: 0s - loss: 0.5024 - acc: 0.7665
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147/254 [================>.............] - ETA: 0s - loss: 0.5019 - acc: 0.7602
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185/254 [====================>.........] - ETA: 0s - loss: 0.5035 - acc: 0.7584
204/254 [=======================>......] - ETA: 0s - loss: 0.5014 - acc: 0.7591
225/254 [=========================>....] - ETA: 0s - loss: 0.4986 - acc: 0.7602
245/254 [===========================>..] - ETA: 0s - loss: 0.5002 - acc: 0.7578
254/254 [==============================] - 1s 3ms/step - loss: 0.4984 - acc: 0.7595
254/254 [==============================] - 1s 4ms/step - loss: 0.4984 - acc: 0.7595 - val_loss: 0.4864 - val_acc: 0.7602
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.3660 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4848 - acc: 0.7711
39/254 [===>..........................] - ETA: 0s - loss: 0.5101 - acc: 0.7705
58/254 [=====>........................] - ETA: 0s - loss: 0.5001 - acc: 0.7664
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76/254 [=======>......................] - ETA: 0s - loss: 0.5065 - acc: 0.7572
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149/254 [================>.............] - ETA: 0s - loss: 0.4941 - acc: 0.7661
169/254 [==================>...........] - ETA: 0s - loss: 0.4915 - acc: 0.7678
187/254 [=====================>........] - ETA: 0s - loss: 0.4897 - acc: 0.7650
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223/254 [=========================>....] - ETA: 0s - loss: 0.4911 - acc: 0.7664
232/254 [==========================>...] - ETA: 0s - loss: 0.4938 - acc: 0.7651
251/254 [============================>.] - ETA: 0s - loss: 0.4934 - acc: 0.7663
254/254 [==============================] - 1s 3ms/step - loss: 0.4937 - acc: 0.7664
254/254 [==============================] - 1s 4ms/step - loss: 0.4937 - acc: 0.7664 - val_loss: 0.5036 - val_acc: 0.7425
Epoch 13/50
1/254 [..............................] - ETA: 1s - loss: 0.3809 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.5527 - acc: 0.7324
36/254 [===>..........................] - ETA: 0s - loss: 0.5112 - acc: 0.7472
55/254 [=====>........................] - ETA: 0s - loss: 0.5145 - acc: 0.7427
75/254 [=======>......................] - ETA: 0s - loss: 0.5000 - acc: 0.7560
92/254 [=========>....................] - ETA: 0s - loss: 0.5113 - acc: 0.7516
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129/254 [==============>...............] - ETA: 0s - loss: 0.5014 - acc: 0.7593
147/254 [================>.............] - ETA: 0s - loss: 0.4981 - acc: 0.7592
166/254 [==================>...........] - ETA: 0s - loss: 0.4995 - acc: 0.7596
184/254 [====================>.........] - ETA: 0s - loss: 0.4960 - acc: 0.7633
201/254 [======================>.......] - ETA: 0s - loss: 0.4954 - acc: 0.7652
212/254 [========================>.....] - ETA: 0s - loss: 0.4946 - acc: 0.7637
232/254 [==========================>...] - ETA: 0s - loss: 0.4974 - acc: 0.7629
247/254 [============================>.] - ETA: 0s - loss: 0.4937 - acc: 0.7638
254/254 [==============================] - 1s 3ms/step - loss: 0.4955 - acc: 0.7642
254/254 [==============================] - 1s 4ms/step - loss: 0.4955 - acc: 0.7642 - val_loss: 0.4912 - val_acc: 0.7584
Epoch 14/50
1/254 [..............................] - ETA: 0s - loss: 0.3046 - acc: 0.9000
20/254 [=>............................] - ETA: 0s - loss: 0.4396 - acc: 0.8100
40/254 [===>..........................] - ETA: 0s - loss: 0.4518 - acc: 0.7937
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93/254 [=========>....................] - ETA: 0s - loss: 0.4700 - acc: 0.7833
113/254 [============>.................] - ETA: 0s - loss: 0.4707 - acc: 0.7796
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149/254 [================>.............] - ETA: 0s - loss: 0.4831 - acc: 0.7779
167/254 [==================>...........] - ETA: 0s - loss: 0.4887 - acc: 0.7743
187/254 [=====================>........] - ETA: 0s - loss: 0.4940 - acc: 0.7684
199/254 [======================>.......] - ETA: 0s - loss: 0.4941 - acc: 0.7678
213/254 [========================>.....] - ETA: 0s - loss: 0.4964 - acc: 0.7662
227/254 [=========================>....] - ETA: 0s - loss: 0.4923 - acc: 0.7676
245/254 [===========================>..] - ETA: 0s - loss: 0.4945 - acc: 0.7665
254/254 [==============================] - 1s 3ms/step - loss: 0.4953 - acc: 0.7652
254/254 [==============================] - 1s 5ms/step - loss: 0.4953 - acc: 0.7652 - val_loss: 0.4866 - val_acc: 0.7620
Epoch 15/50
1/254 [..............................] - ETA: 1s - loss: 0.6639 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.5442 - acc: 0.7441
36/254 [===>..........................] - ETA: 0s - loss: 0.5048 - acc: 0.7486
55/254 [=====>........................] - ETA: 0s - loss: 0.4952 - acc: 0.7527
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91/254 [=========>....................] - ETA: 0s - loss: 0.4914 - acc: 0.7676
111/254 [============>.................] - ETA: 0s - loss: 0.4876 - acc: 0.7658
130/254 [==============>...............] - ETA: 0s - loss: 0.4903 - acc: 0.7650
138/254 [===============>..............] - ETA: 0s - loss: 0.4950 - acc: 0.7638
157/254 [=================>............] - ETA: 0s - loss: 0.5002 - acc: 0.7589
166/254 [==================>...........] - ETA: 0s - loss: 0.5000 - acc: 0.7593
182/254 [====================>.........] - ETA: 0s - loss: 0.4972 - acc: 0.7560
202/254 [======================>.......] - ETA: 0s - loss: 0.4963 - acc: 0.7582
218/254 [========================>.....] - ETA: 0s - loss: 0.4919 - acc: 0.7608
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254/254 [==============================] - 1s 3ms/step - loss: 0.4915 - acc: 0.7605
254/254 [==============================] - 1s 4ms/step - loss: 0.4915 - acc: 0.7605 - val_loss: 0.4848 - val_acc: 0.7655
Epoch 16/50
1/254 [..............................] - ETA: 0s - loss: 0.3999 - acc: 0.9000
19/254 [=>............................] - ETA: 0s - loss: 0.4495 - acc: 0.7947
38/254 [===>..........................] - ETA: 0s - loss: 0.4729 - acc: 0.7684
58/254 [=====>........................] - ETA: 0s - loss: 0.4773 - acc: 0.7586
76/254 [=======>......................] - ETA: 0s - loss: 0.4830 - acc: 0.7711
93/254 [=========>....................] - ETA: 0s - loss: 0.4732 - acc: 0.7753
113/254 [============>.................] - ETA: 0s - loss: 0.4817 - acc: 0.7681
132/254 [==============>...............] - ETA: 0s - loss: 0.4841 - acc: 0.7712
140/254 [===============>..............] - ETA: 0s - loss: 0.4829 - acc: 0.7714
156/254 [=================>............] - ETA: 0s - loss: 0.4888 - acc: 0.7660
172/254 [===================>..........] - ETA: 0s - loss: 0.4886 - acc: 0.7648
190/254 [=====================>........] - ETA: 0s - loss: 0.4892 - acc: 0.7661
210/254 [=======================>......] - ETA: 0s - loss: 0.4864 - acc: 0.7683
227/254 [=========================>....] - ETA: 0s - loss: 0.4848 - acc: 0.7707
242/254 [===========================>..] - ETA: 0s - loss: 0.4846 - acc: 0.7696
254/254 [==============================] - 1s 3ms/step - loss: 0.4867 - acc: 0.7692
254/254 [==============================] - 1s 4ms/step - loss: 0.4867 - acc: 0.7692 - val_loss: 0.4869 - val_acc: 0.7655
Epoch 17/50
1/254 [..............................] - ETA: 0s - loss: 0.4183 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4936 - acc: 0.7658
39/254 [===>..........................] - ETA: 0s - loss: 0.4999 - acc: 0.7410
58/254 [=====>........................] - ETA: 0s - loss: 0.4927 - acc: 0.7526
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115/254 [============>.................] - ETA: 0s - loss: 0.4888 - acc: 0.7552
134/254 [==============>...............] - ETA: 0s - loss: 0.4898 - acc: 0.7586
151/254 [================>.............] - ETA: 0s - loss: 0.4877 - acc: 0.7596
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187/254 [=====================>........] - ETA: 0s - loss: 0.4884 - acc: 0.7588
206/254 [=======================>......] - ETA: 0s - loss: 0.4895 - acc: 0.7619
224/254 [=========================>....] - ETA: 0s - loss: 0.4885 - acc: 0.7661
232/254 [==========================>...] - ETA: 0s - loss: 0.4897 - acc: 0.7655
247/254 [============================>.] - ETA: 0s - loss: 0.4895 - acc: 0.7652
254/254 [==============================] - 1s 3ms/step - loss: 0.4909 - acc: 0.7650
254/254 [==============================] - 1s 4ms/step - loss: 0.4909 - acc: 0.7650 - val_loss: 0.5036 - val_acc: 0.7460
Epoch 18/50
1/254 [..............................] - ETA: 0s - loss: 0.4884 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.5043 - acc: 0.7500
39/254 [===>..........................] - ETA: 0s - loss: 0.4826 - acc: 0.7513
59/254 [=====>........................] - ETA: 0s - loss: 0.4855 - acc: 0.7542
77/254 [========>.....................] - ETA: 0s - loss: 0.4793 - acc: 0.7649
95/254 [==========>...................] - ETA: 0s - loss: 0.4789 - acc: 0.7663
107/254 [===========>..................] - ETA: 0s - loss: 0.4710 - acc: 0.7715
125/254 [=============>................] - ETA: 0s - loss: 0.4754 - acc: 0.7732
138/254 [===============>..............] - ETA: 0s - loss: 0.4758 - acc: 0.7743
155/254 [=================>............] - ETA: 0s - loss: 0.4793 - acc: 0.7703
173/254 [===================>..........] - ETA: 0s - loss: 0.4802 - acc: 0.7691
192/254 [=====================>........] - ETA: 0s - loss: 0.4851 - acc: 0.7643
210/254 [=======================>......] - ETA: 0s - loss: 0.4802 - acc: 0.7664
229/254 [==========================>...] - ETA: 0s - loss: 0.4837 - acc: 0.7662
247/254 [============================>.] - ETA: 0s - loss: 0.4821 - acc: 0.7656
254/254 [==============================] - 1s 3ms/step - loss: 0.4835 - acc: 0.7654
254/254 [==============================] - 1s 4ms/step - loss: 0.4835 - acc: 0.7654 - val_loss: 0.4938 - val_acc: 0.7407
Epoch 19/50
1/254 [..............................] - ETA: 0s - loss: 0.5902 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.4522 - acc: 0.7895
39/254 [===>..........................] - ETA: 0s - loss: 0.4713 - acc: 0.7667
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95/254 [==========>...................] - ETA: 0s - loss: 0.4841 - acc: 0.7674
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141/254 [===============>..............] - ETA: 0s - loss: 0.4863 - acc: 0.7695
160/254 [=================>............] - ETA: 0s - loss: 0.4866 - acc: 0.7688
180/254 [====================>.........] - ETA: 0s - loss: 0.4919 - acc: 0.7686
196/254 [======================>.......] - ETA: 0s - loss: 0.4935 - acc: 0.7645
215/254 [========================>.....] - ETA: 0s - loss: 0.4936 - acc: 0.7647
233/254 [==========================>...] - ETA: 0s - loss: 0.4957 - acc: 0.7650
252/254 [============================>.] - ETA: 0s - loss: 0.4924 - acc: 0.7667
254/254 [==============================] - 1s 3ms/step - loss: 0.4933 - acc: 0.7660
254/254 [==============================] - 1s 4ms/step - loss: 0.4933 - acc: 0.7660 - val_loss: 0.4953 - val_acc: 0.7513
Run completed: runs/2024-05-06T19-39-26Z
Training run 19/52 (flags = list(64, 64, 0.01, 20, 30, "sigmoid", "relu", 0.5, 0.2))
Using run directory runs/2024-05-06T19-39-49Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 5:03 - loss: 0.6671 - acc: 0.6500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0285s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0285s). Check your callbacks.
17/254 [=>............................] - ETA: 0s - loss: 0.7196 - acc: 0.5324
36/254 [===>..........................] - ETA: 0s - loss: 0.7117 - acc: 0.5417
55/254 [=====>........................] - ETA: 0s - loss: 0.6986 - acc: 0.5627
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172/254 [===================>..........] - ETA: 0s - loss: 0.6472 - acc: 0.6119
190/254 [=====================>........] - ETA: 0s - loss: 0.6340 - acc: 0.6237
206/254 [=======================>......] - ETA: 0s - loss: 0.6250 - acc: 0.6347
224/254 [=========================>....] - ETA: 0s - loss: 0.6184 - acc: 0.6417
241/254 [===========================>..] - ETA: 0s - loss: 0.6104 - acc: 0.6461
254/254 [==============================] - 2s 3ms/step - loss: 0.6081 - acc: 0.6523
254/254 [==============================] - 3s 7ms/step - loss: 0.6081 - acc: 0.6523 - val_loss: 0.4657 - val_acc: 0.7744
Epoch 2/30
1/254 [..............................] - ETA: 0s - loss: 0.4093 - acc: 0.8000
15/254 [>.............................] - ETA: 0s - loss: 0.5882 - acc: 0.7367
33/254 [==>...........................] - ETA: 0s - loss: 0.5675 - acc: 0.7167
46/254 [====>.........................] - ETA: 0s - loss: 0.5552 - acc: 0.7174
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93/254 [=========>....................] - ETA: 0s - loss: 0.5434 - acc: 0.7269
102/254 [===========>..................] - ETA: 0s - loss: 0.5332 - acc: 0.7319
119/254 [=============>................] - ETA: 0s - loss: 0.5337 - acc: 0.7315
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143/254 [===============>..............] - ETA: 0s - loss: 0.5347 - acc: 0.7332
160/254 [=================>............] - ETA: 0s - loss: 0.5353 - acc: 0.7359
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206/254 [=======================>......] - ETA: 0s - loss: 0.5337 - acc: 0.7289
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235/254 [==========================>...] - ETA: 0s - loss: 0.5374 - acc: 0.7283
252/254 [============================>.] - ETA: 0s - loss: 0.5355 - acc: 0.7276
254/254 [==============================] - 1s 4ms/step - loss: 0.5350 - acc: 0.7276
254/254 [==============================] - 1s 5ms/step - loss: 0.5350 - acc: 0.7276 - val_loss: 0.4830 - val_acc: 0.7673
Epoch 3/30
1/254 [..............................] - ETA: 0s - loss: 0.4354 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.5398 - acc: 0.7333
34/254 [===>..........................] - ETA: 0s - loss: 0.5549 - acc: 0.7338
48/254 [====>.........................] - ETA: 0s - loss: 0.5590 - acc: 0.7240
63/254 [======>.......................] - ETA: 0s - loss: 0.5452 - acc: 0.7198
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93/254 [=========>....................] - ETA: 0s - loss: 0.5338 - acc: 0.7263
111/254 [============>.................] - ETA: 0s - loss: 0.5281 - acc: 0.7324
128/254 [==============>...............] - ETA: 0s - loss: 0.5319 - acc: 0.7348
145/254 [================>.............] - ETA: 0s - loss: 0.5252 - acc: 0.7400
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179/254 [====================>.........] - ETA: 0s - loss: 0.5317 - acc: 0.7372
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215/254 [========================>.....] - ETA: 0s - loss: 0.5263 - acc: 0.7384
233/254 [==========================>...] - ETA: 0s - loss: 0.5287 - acc: 0.7361
249/254 [============================>.] - ETA: 0s - loss: 0.5303 - acc: 0.7343
254/254 [==============================] - 1s 3ms/step - loss: 0.5299 - acc: 0.7339
254/254 [==============================] - 1s 4ms/step - loss: 0.5299 - acc: 0.7339 - val_loss: 0.5204 - val_acc: 0.7513
Epoch 4/30
1/254 [..............................] - ETA: 0s - loss: 0.5274 - acc: 0.7000
14/254 [>.............................] - ETA: 0s - loss: 0.4737 - acc: 0.7214
32/254 [==>...........................] - ETA: 0s - loss: 0.4997 - acc: 0.7328
48/254 [====>.........................] - ETA: 0s - loss: 0.5138 - acc: 0.7271
56/254 [=====>........................] - ETA: 0s - loss: 0.5110 - acc: 0.7268
74/254 [=======>......................] - ETA: 0s - loss: 0.5060 - acc: 0.7304
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104/254 [===========>..................] - ETA: 0s - loss: 0.5095 - acc: 0.7322
121/254 [=============>................] - ETA: 0s - loss: 0.5077 - acc: 0.7347
139/254 [===============>..............] - ETA: 0s - loss: 0.5114 - acc: 0.7363
156/254 [=================>............] - ETA: 0s - loss: 0.5143 - acc: 0.7365
174/254 [===================>..........] - ETA: 0s - loss: 0.5152 - acc: 0.7368
192/254 [=====================>........] - ETA: 0s - loss: 0.5136 - acc: 0.7372
210/254 [=======================>......] - ETA: 0s - loss: 0.5142 - acc: 0.7407
224/254 [=========================>....] - ETA: 0s - loss: 0.5135 - acc: 0.7420
241/254 [===========================>..] - ETA: 0s - loss: 0.5143 - acc: 0.7400
254/254 [==============================] - 1s 3ms/step - loss: 0.5122 - acc: 0.7398
254/254 [==============================] - 1s 4ms/step - loss: 0.5122 - acc: 0.7398 - val_loss: 0.4774 - val_acc: 0.7709
Epoch 5/30
1/254 [..............................] - ETA: 1s - loss: 0.4944 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5208 - acc: 0.7750
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254/254 [==============================] - 1s 4ms/step - loss: 0.5050 - acc: 0.7502
254/254 [==============================] - 1s 5ms/step - loss: 0.5050 - acc: 0.7502 - val_loss: 0.4841 - val_acc: 0.7620
Epoch 6/30
1/254 [..............................] - ETA: 1s - loss: 0.3600 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.5114 - acc: 0.7306
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252/254 [============================>.] - ETA: 0s - loss: 0.5069 - acc: 0.7395
254/254 [==============================] - 1s 3ms/step - loss: 0.5070 - acc: 0.7392
254/254 [==============================] - 1s 4ms/step - loss: 0.5070 - acc: 0.7392 - val_loss: 0.4779 - val_acc: 0.7726
Epoch 7/30
1/254 [..............................] - ETA: 0s - loss: 0.3881 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4888 - acc: 0.7750
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254/254 [==============================] - 1s 3ms/step - loss: 0.4991 - acc: 0.7500
254/254 [==============================] - 1s 4ms/step - loss: 0.4991 - acc: 0.7500 - val_loss: 0.4755 - val_acc: 0.7744
Epoch 8/30
1/254 [..............................] - ETA: 1s - loss: 0.4253 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4535 - acc: 0.7472
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254/254 [==============================] - 1s 4ms/step - loss: 0.4978 - acc: 0.7493
254/254 [==============================] - 1s 5ms/step - loss: 0.4978 - acc: 0.7493 - val_loss: 0.5095 - val_acc: 0.7531
Epoch 9/30
1/254 [..............................] - ETA: 0s - loss: 0.9020 - acc: 0.5500
19/254 [=>............................] - ETA: 0s - loss: 0.5304 - acc: 0.7316
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254/254 [==============================] - 1s 3ms/step - loss: 0.4979 - acc: 0.7467
254/254 [==============================] - 1s 4ms/step - loss: 0.4979 - acc: 0.7467 - val_loss: 0.4910 - val_acc: 0.7655
Epoch 10/30
1/254 [..............................] - ETA: 0s - loss: 0.5329 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4709 - acc: 0.7694
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243/254 [===========================>..] - ETA: 0s - loss: 0.4953 - acc: 0.7477
254/254 [==============================] - 1s 4ms/step - loss: 0.4953 - acc: 0.7465
254/254 [==============================] - 1s 5ms/step - loss: 0.4953 - acc: 0.7465 - val_loss: 0.4841 - val_acc: 0.7709
Epoch 11/30
1/254 [..............................] - ETA: 0s - loss: 0.6404 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.5299 - acc: 0.7194
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254/254 [==============================] - 1s 3ms/step - loss: 0.4912 - acc: 0.7546
254/254 [==============================] - 1s 4ms/step - loss: 0.4912 - acc: 0.7546 - val_loss: 0.4691 - val_acc: 0.7780
Run completed: runs/2024-05-06T19-39-49Z
Training run 20/52 (flags = list(32, 32, 0.001, 20, 30, "relu", "sigmoid", 0.5, 0.2))
Using run directory runs/2024-05-06T19-40-03Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 5:07 - loss: 0.7899 - acc: 0.4000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
17/254 [=>............................] - ETA: 0s - loss: 0.6877 - acc: 0.4794
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246/254 [============================>.] - ETA: 0s - loss: 0.6022 - acc: 0.6616
254/254 [==============================] - 2s 3ms/step - loss: 0.5985 - acc: 0.6645
254/254 [==============================] - 3s 7ms/step - loss: 0.5985 - acc: 0.6645 - val_loss: 0.4906 - val_acc: 0.7567
Epoch 2/30
1/254 [..............................] - ETA: 1s - loss: 0.5737 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.4909 - acc: 0.7667
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247/254 [============================>.] - ETA: 0s - loss: 0.5305 - acc: 0.7431
254/254 [==============================] - 1s 3ms/step - loss: 0.5315 - acc: 0.7428
254/254 [==============================] - 1s 4ms/step - loss: 0.5315 - acc: 0.7428 - val_loss: 0.4990 - val_acc: 0.7620
Epoch 3/30
1/254 [..............................] - ETA: 0s - loss: 0.4239 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.5587 - acc: 0.6974
38/254 [===>..........................] - ETA: 0s - loss: 0.5407 - acc: 0.7066
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241/254 [===========================>..] - ETA: 0s - loss: 0.5199 - acc: 0.7448
254/254 [==============================] - 1s 3ms/step - loss: 0.5165 - acc: 0.7443
254/254 [==============================] - 1s 4ms/step - loss: 0.5165 - acc: 0.7443 - val_loss: 0.4791 - val_acc: 0.7638
Epoch 4/30
1/254 [..............................] - ETA: 0s - loss: 0.6268 - acc: 0.7000
20/254 [=>............................] - ETA: 0s - loss: 0.5214 - acc: 0.7675
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254/254 [==============================] - 1s 3ms/step - loss: 0.5103 - acc: 0.7528
254/254 [==============================] - 1s 4ms/step - loss: 0.5103 - acc: 0.7528 - val_loss: 0.4937 - val_acc: 0.7584
Epoch 5/30
1/254 [..............................] - ETA: 1s - loss: 0.4871 - acc: 0.6500
20/254 [=>............................] - ETA: 0s - loss: 0.4811 - acc: 0.7350
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238/254 [===========================>..] - ETA: 0s - loss: 0.5103 - acc: 0.7523
254/254 [==============================] - 1s 3ms/step - loss: 0.5112 - acc: 0.7512
254/254 [==============================] - 1s 4ms/step - loss: 0.5112 - acc: 0.7512 - val_loss: 0.4879 - val_acc: 0.7602
Epoch 6/30
1/254 [..............................] - ETA: 0s - loss: 0.6703 - acc: 0.5500
18/254 [=>............................] - ETA: 0s - loss: 0.5175 - acc: 0.7556
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254/254 [==============================] - 1s 3ms/step - loss: 0.5036 - acc: 0.7483
254/254 [==============================] - 1s 4ms/step - loss: 0.5036 - acc: 0.7483 - val_loss: 0.4776 - val_acc: 0.7638
Epoch 7/30
1/254 [..............................] - ETA: 0s - loss: 0.4895 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4872 - acc: 0.7583
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68/254 [=======>......................] - ETA: 0s - loss: 0.4885 - acc: 0.7647
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103/254 [===========>..................] - ETA: 0s - loss: 0.4909 - acc: 0.7612
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185/254 [====================>.........] - ETA: 0s - loss: 0.4927 - acc: 0.7559
205/254 [=======================>......] - ETA: 0s - loss: 0.4990 - acc: 0.7532
222/254 [=========================>....] - ETA: 0s - loss: 0.5035 - acc: 0.7495
241/254 [===========================>..] - ETA: 0s - loss: 0.5016 - acc: 0.7500
254/254 [==============================] - 1s 3ms/step - loss: 0.5025 - acc: 0.7493
254/254 [==============================] - 1s 4ms/step - loss: 0.5025 - acc: 0.7493 - val_loss: 0.4755 - val_acc: 0.7602
Epoch 8/30
1/254 [..............................] - ETA: 0s - loss: 0.5272 - acc: 0.7000
8/254 [..............................] - ETA: 1s - loss: 0.4736 - acc: 0.7875
24/254 [=>............................] - ETA: 1s - loss: 0.4672 - acc: 0.7646
34/254 [===>..........................] - ETA: 1s - loss: 0.4583 - acc: 0.7662
52/254 [=====>........................] - ETA: 0s - loss: 0.4655 - acc: 0.7673
66/254 [======>.......................] - ETA: 0s - loss: 0.4922 - acc: 0.7561
84/254 [========>.....................] - ETA: 0s - loss: 0.4947 - acc: 0.7548
101/254 [==========>...................] - ETA: 0s - loss: 0.4915 - acc: 0.7535
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248/254 [============================>.] - ETA: 0s - loss: 0.4990 - acc: 0.7530
254/254 [==============================] - 1s 3ms/step - loss: 0.4990 - acc: 0.7530
254/254 [==============================] - 1s 4ms/step - loss: 0.4990 - acc: 0.7530 - val_loss: 0.4719 - val_acc: 0.7673
Epoch 9/30
1/254 [..............................] - ETA: 0s - loss: 0.3983 - acc: 0.8500
9/254 [>.............................] - ETA: 1s - loss: 0.4951 - acc: 0.7722
28/254 [==>...........................] - ETA: 0s - loss: 0.4938 - acc: 0.7536
48/254 [====>.........................] - ETA: 0s - loss: 0.4971 - acc: 0.7417
65/254 [======>.......................] - ETA: 0s - loss: 0.4996 - acc: 0.7454
85/254 [=========>....................] - ETA: 0s - loss: 0.4909 - acc: 0.7500
102/254 [===========>..................] - ETA: 0s - loss: 0.5091 - acc: 0.7397
116/254 [============>.................] - ETA: 0s - loss: 0.5095 - acc: 0.7384
134/254 [==============>...............] - ETA: 0s - loss: 0.5055 - acc: 0.7392
143/254 [===============>..............] - ETA: 0s - loss: 0.5045 - acc: 0.7395
163/254 [==================>...........] - ETA: 0s - loss: 0.5014 - acc: 0.7414
178/254 [====================>.........] - ETA: 0s - loss: 0.5006 - acc: 0.7444
199/254 [======================>.......] - ETA: 0s - loss: 0.5046 - acc: 0.7422
215/254 [========================>.....] - ETA: 0s - loss: 0.5021 - acc: 0.7437
233/254 [==========================>...] - ETA: 0s - loss: 0.4991 - acc: 0.7438
252/254 [============================>.] - ETA: 0s - loss: 0.4990 - acc: 0.7442
254/254 [==============================] - 1s 3ms/step - loss: 0.4984 - acc: 0.7447
254/254 [==============================] - 1s 4ms/step - loss: 0.4984 - acc: 0.7447 - val_loss: 0.4729 - val_acc: 0.7620
Epoch 10/30
1/254 [..............................] - ETA: 0s - loss: 0.6226 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5516 - acc: 0.7316
37/254 [===>..........................] - ETA: 0s - loss: 0.5350 - acc: 0.7230
56/254 [=====>........................] - ETA: 0s - loss: 0.5168 - acc: 0.7357
74/254 [=======>......................] - ETA: 0s - loss: 0.5224 - acc: 0.7270
92/254 [=========>....................] - ETA: 0s - loss: 0.5131 - acc: 0.7315
112/254 [============>.................] - ETA: 0s - loss: 0.5081 - acc: 0.7379
131/254 [==============>...............] - ETA: 0s - loss: 0.4942 - acc: 0.7481
149/254 [================>.............] - ETA: 0s - loss: 0.4916 - acc: 0.7513
169/254 [==================>...........] - ETA: 0s - loss: 0.4918 - acc: 0.7530
189/254 [=====================>........] - ETA: 0s - loss: 0.4975 - acc: 0.7513
207/254 [=======================>......] - ETA: 0s - loss: 0.4977 - acc: 0.7519
224/254 [=========================>....] - ETA: 0s - loss: 0.5027 - acc: 0.7498
244/254 [===========================>..] - ETA: 0s - loss: 0.5018 - acc: 0.7518
254/254 [==============================] - 1s 3ms/step - loss: 0.4998 - acc: 0.7528
254/254 [==============================] - 1s 4ms/step - loss: 0.4998 - acc: 0.7528 - val_loss: 0.5104 - val_acc: 0.7478
Epoch 11/30
1/254 [..............................] - ETA: 1s - loss: 0.3961 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.4916 - acc: 0.7353
36/254 [===>..........................] - ETA: 0s - loss: 0.4953 - acc: 0.7361
56/254 [=====>........................] - ETA: 0s - loss: 0.4902 - acc: 0.7473
68/254 [=======>......................] - ETA: 0s - loss: 0.4829 - acc: 0.7522
87/254 [=========>....................] - ETA: 0s - loss: 0.4833 - acc: 0.7529
106/254 [===========>..................] - ETA: 0s - loss: 0.4854 - acc: 0.7547
126/254 [=============>................] - ETA: 0s - loss: 0.4878 - acc: 0.7492
145/254 [================>.............] - ETA: 0s - loss: 0.4932 - acc: 0.7476
163/254 [==================>...........] - ETA: 0s - loss: 0.4919 - acc: 0.7479
179/254 [====================>.........] - ETA: 0s - loss: 0.4941 - acc: 0.7436
198/254 [======================>.......] - ETA: 0s - loss: 0.4966 - acc: 0.7424
216/254 [========================>.....] - ETA: 0s - loss: 0.4966 - acc: 0.7428
235/254 [==========================>...] - ETA: 0s - loss: 0.4930 - acc: 0.7477
254/254 [==============================] - 1s 3ms/step - loss: 0.4967 - acc: 0.7477
254/254 [==============================] - 1s 4ms/step - loss: 0.4967 - acc: 0.7477 - val_loss: 0.4783 - val_acc: 0.7567
Epoch 12/30
1/254 [..............................] - ETA: 0s - loss: 0.6573 - acc: 0.6500
13/254 [>.............................] - ETA: 1s - loss: 0.5344 - acc: 0.7500
33/254 [==>...........................] - ETA: 0s - loss: 0.5064 - acc: 0.7364
53/254 [=====>........................] - ETA: 0s - loss: 0.4972 - acc: 0.7387
73/254 [=======>......................] - ETA: 0s - loss: 0.5067 - acc: 0.7336
86/254 [=========>....................] - ETA: 0s - loss: 0.4998 - acc: 0.7395
95/254 [==========>...................] - ETA: 0s - loss: 0.5014 - acc: 0.7358
113/254 [============>.................] - ETA: 0s - loss: 0.4984 - acc: 0.7372
127/254 [==============>...............] - ETA: 0s - loss: 0.5002 - acc: 0.7335
147/254 [================>.............] - ETA: 0s - loss: 0.4995 - acc: 0.7344
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183/254 [====================>.........] - ETA: 0s - loss: 0.4954 - acc: 0.7407
199/254 [======================>.......] - ETA: 0s - loss: 0.4888 - acc: 0.7485
216/254 [========================>.....] - ETA: 0s - loss: 0.4898 - acc: 0.7472
235/254 [==========================>...] - ETA: 0s - loss: 0.4893 - acc: 0.7496
250/254 [============================>.] - ETA: 0s - loss: 0.4907 - acc: 0.7490
254/254 [==============================] - 1s 3ms/step - loss: 0.4928 - acc: 0.7479
254/254 [==============================] - 1s 4ms/step - loss: 0.4928 - acc: 0.7479 - val_loss: 0.4868 - val_acc: 0.7531
Epoch 13/30
1/254 [..............................] - ETA: 1s - loss: 0.3512 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.4714 - acc: 0.7676
37/254 [===>..........................] - ETA: 0s - loss: 0.4881 - acc: 0.7554
55/254 [=====>........................] - ETA: 0s - loss: 0.5109 - acc: 0.7355
74/254 [=======>......................] - ETA: 0s - loss: 0.5030 - acc: 0.7392
92/254 [=========>....................] - ETA: 0s - loss: 0.4920 - acc: 0.7457
111/254 [============>.................] - ETA: 0s - loss: 0.4917 - acc: 0.7437
129/254 [==============>...............] - ETA: 0s - loss: 0.4889 - acc: 0.7457
148/254 [================>.............] - ETA: 0s - loss: 0.4892 - acc: 0.7426
165/254 [==================>...........] - ETA: 0s - loss: 0.4887 - acc: 0.7491
184/254 [====================>.........] - ETA: 0s - loss: 0.4905 - acc: 0.7465
203/254 [======================>.......] - ETA: 0s - loss: 0.4869 - acc: 0.7470
222/254 [=========================>....] - ETA: 0s - loss: 0.4869 - acc: 0.7491
238/254 [===========================>..] - ETA: 0s - loss: 0.4878 - acc: 0.7489
254/254 [==============================] - 1s 3ms/step - loss: 0.4859 - acc: 0.7510
254/254 [==============================] - 1s 4ms/step - loss: 0.4859 - acc: 0.7510 - val_loss: 0.4775 - val_acc: 0.7620
Epoch 14/30
1/254 [..............................] - ETA: 0s - loss: 0.4159 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4716 - acc: 0.7526
39/254 [===>..........................] - ETA: 0s - loss: 0.4665 - acc: 0.7667
59/254 [=====>........................] - ETA: 0s - loss: 0.4808 - acc: 0.7585
77/254 [========>.....................] - ETA: 0s - loss: 0.4721 - acc: 0.7656
95/254 [==========>...................] - ETA: 0s - loss: 0.4831 - acc: 0.7621
115/254 [============>.................] - ETA: 0s - loss: 0.4816 - acc: 0.7687
134/254 [==============>...............] - ETA: 0s - loss: 0.4772 - acc: 0.7705
151/254 [================>.............] - ETA: 0s - loss: 0.4784 - acc: 0.7675
168/254 [==================>...........] - ETA: 0s - loss: 0.4823 - acc: 0.7637
188/254 [=====================>........] - ETA: 0s - loss: 0.4836 - acc: 0.7590
207/254 [=======================>......] - ETA: 0s - loss: 0.4817 - acc: 0.7597
226/254 [=========================>....] - ETA: 0s - loss: 0.4857 - acc: 0.7600
243/254 [===========================>..] - ETA: 0s - loss: 0.4863 - acc: 0.7607
254/254 [==============================] - 1s 3ms/step - loss: 0.4850 - acc: 0.7611
254/254 [==============================] - 1s 4ms/step - loss: 0.4850 - acc: 0.7611 - val_loss: 0.4969 - val_acc: 0.7567
Epoch 15/30
1/254 [..............................] - ETA: 1s - loss: 0.7859 - acc: 0.5000
17/254 [=>............................] - ETA: 0s - loss: 0.4301 - acc: 0.7559
37/254 [===>..........................] - ETA: 0s - loss: 0.4724 - acc: 0.7486
56/254 [=====>........................] - ETA: 0s - loss: 0.4862 - acc: 0.7527
74/254 [=======>......................] - ETA: 0s - loss: 0.4793 - acc: 0.7486
93/254 [=========>....................] - ETA: 0s - loss: 0.4795 - acc: 0.7446
112/254 [============>.................] - ETA: 0s - loss: 0.4822 - acc: 0.7451
131/254 [==============>...............] - ETA: 0s - loss: 0.4793 - acc: 0.7481
148/254 [================>.............] - ETA: 0s - loss: 0.4815 - acc: 0.7517
166/254 [==================>...........] - ETA: 0s - loss: 0.4846 - acc: 0.7470
185/254 [====================>.........] - ETA: 0s - loss: 0.4828 - acc: 0.7465
203/254 [======================>.......] - ETA: 0s - loss: 0.4824 - acc: 0.7490
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241/254 [===========================>..] - ETA: 0s - loss: 0.4889 - acc: 0.7465
247/254 [============================>.] - ETA: 0s - loss: 0.4884 - acc: 0.7470
254/254 [==============================] - 1s 3ms/step - loss: 0.4899 - acc: 0.7457
254/254 [==============================] - 1s 4ms/step - loss: 0.4899 - acc: 0.7457 - val_loss: 0.4795 - val_acc: 0.7584
Epoch 16/30
1/254 [..............................] - ETA: 0s - loss: 0.5593 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4943 - acc: 0.7421
39/254 [===>..........................] - ETA: 0s - loss: 0.4915 - acc: 0.7526
58/254 [=====>........................] - ETA: 0s - loss: 0.4802 - acc: 0.7526
76/254 [=======>......................] - ETA: 0s - loss: 0.4840 - acc: 0.7533
93/254 [=========>....................] - ETA: 0s - loss: 0.4841 - acc: 0.7505
113/254 [============>.................] - ETA: 0s - loss: 0.4840 - acc: 0.7522
132/254 [==============>...............] - ETA: 0s - loss: 0.4832 - acc: 0.7523
151/254 [================>.............] - ETA: 0s - loss: 0.4816 - acc: 0.7543
168/254 [==================>...........] - ETA: 0s - loss: 0.4863 - acc: 0.7548
186/254 [====================>.........] - ETA: 0s - loss: 0.4885 - acc: 0.7573
204/254 [=======================>......] - ETA: 0s - loss: 0.4869 - acc: 0.7571
217/254 [========================>.....] - ETA: 0s - loss: 0.4915 - acc: 0.7528
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250/254 [============================>.] - ETA: 0s - loss: 0.4905 - acc: 0.7528
254/254 [==============================] - 1s 3ms/step - loss: 0.4902 - acc: 0.7522
254/254 [==============================] - 1s 4ms/step - loss: 0.4902 - acc: 0.7522 - val_loss: 0.4677 - val_acc: 0.7744
Epoch 17/30
1/254 [..............................] - ETA: 0s - loss: 0.3992 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4648 - acc: 0.7816
38/254 [===>..........................] - ETA: 0s - loss: 0.4822 - acc: 0.7632
57/254 [=====>........................] - ETA: 0s - loss: 0.4726 - acc: 0.7553
74/254 [=======>......................] - ETA: 0s - loss: 0.4898 - acc: 0.7507
91/254 [=========>....................] - ETA: 0s - loss: 0.4877 - acc: 0.7462
111/254 [============>.................] - ETA: 0s - loss: 0.4854 - acc: 0.7532
131/254 [==============>...............] - ETA: 0s - loss: 0.4862 - acc: 0.7550
151/254 [================>.............] - ETA: 0s - loss: 0.4860 - acc: 0.7560
170/254 [===================>..........] - ETA: 0s - loss: 0.4850 - acc: 0.7547
189/254 [=====================>........] - ETA: 0s - loss: 0.4800 - acc: 0.7566
207/254 [=======================>......] - ETA: 0s - loss: 0.4858 - acc: 0.7531
223/254 [=========================>....] - ETA: 0s - loss: 0.4835 - acc: 0.7540
240/254 [===========================>..] - ETA: 0s - loss: 0.4856 - acc: 0.7552
244/254 [===========================>..] - ETA: 0s - loss: 0.4878 - acc: 0.7551
254/254 [==============================] - 1s 3ms/step - loss: 0.4869 - acc: 0.7560
254/254 [==============================] - 1s 4ms/step - loss: 0.4869 - acc: 0.7560 - val_loss: 0.4697 - val_acc: 0.7762
Epoch 18/30
1/254 [..............................] - ETA: 0s - loss: 0.5309 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.4682 - acc: 0.7500
37/254 [===>..........................] - ETA: 0s - loss: 0.5005 - acc: 0.7405
55/254 [=====>........................] - ETA: 0s - loss: 0.5084 - acc: 0.7355
74/254 [=======>......................] - ETA: 0s - loss: 0.5072 - acc: 0.7230
93/254 [=========>....................] - ETA: 0s - loss: 0.5067 - acc: 0.7269
111/254 [============>.................] - ETA: 0s - loss: 0.4966 - acc: 0.7320
129/254 [==============>...............] - ETA: 0s - loss: 0.5008 - acc: 0.7306
149/254 [================>.............] - ETA: 0s - loss: 0.4967 - acc: 0.7346
169/254 [==================>...........] - ETA: 0s - loss: 0.4910 - acc: 0.7408
185/254 [====================>.........] - ETA: 0s - loss: 0.4911 - acc: 0.7427
200/254 [======================>.......] - ETA: 0s - loss: 0.4888 - acc: 0.7442
215/254 [========================>.....] - ETA: 0s - loss: 0.4884 - acc: 0.7472
231/254 [==========================>...] - ETA: 0s - loss: 0.4912 - acc: 0.7450
248/254 [============================>.] - ETA: 0s - loss: 0.4893 - acc: 0.7460
254/254 [==============================] - 1s 3ms/step - loss: 0.4888 - acc: 0.7453
254/254 [==============================] - 1s 4ms/step - loss: 0.4888 - acc: 0.7453 - val_loss: 0.4759 - val_acc: 0.7638
Epoch 19/30
1/254 [..............................] - ETA: 0s - loss: 0.4101 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.5148 - acc: 0.7647
37/254 [===>..........................] - ETA: 0s - loss: 0.4675 - acc: 0.7743
54/254 [=====>........................] - ETA: 0s - loss: 0.4747 - acc: 0.7667
73/254 [=======>......................] - ETA: 0s - loss: 0.4701 - acc: 0.7610
92/254 [=========>....................] - ETA: 0s - loss: 0.4758 - acc: 0.7560
108/254 [===========>..................] - ETA: 0s - loss: 0.4892 - acc: 0.7472
126/254 [=============>................] - ETA: 0s - loss: 0.4919 - acc: 0.7429
146/254 [================>.............] - ETA: 0s - loss: 0.4899 - acc: 0.7432
166/254 [==================>...........] - ETA: 0s - loss: 0.4889 - acc: 0.7422
184/254 [====================>.........] - ETA: 0s - loss: 0.4876 - acc: 0.7462
193/254 [=====================>........] - ETA: 0s - loss: 0.4886 - acc: 0.7464
207/254 [=======================>......] - ETA: 0s - loss: 0.4829 - acc: 0.7500
225/254 [=========================>....] - ETA: 0s - loss: 0.4857 - acc: 0.7496
242/254 [===========================>..] - ETA: 0s - loss: 0.4829 - acc: 0.7523
254/254 [==============================] - 1s 3ms/step - loss: 0.4853 - acc: 0.7497
254/254 [==============================] - 1s 4ms/step - loss: 0.4853 - acc: 0.7497 - val_loss: 0.4798 - val_acc: 0.7655
Epoch 20/30
1/254 [..............................] - ETA: 0s - loss: 0.6066 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.5242 - acc: 0.7000
39/254 [===>..........................] - ETA: 0s - loss: 0.4928 - acc: 0.7410
58/254 [=====>........................] - ETA: 0s - loss: 0.5039 - acc: 0.7457
77/254 [========>.....................] - ETA: 0s - loss: 0.4865 - acc: 0.7519
95/254 [==========>...................] - ETA: 0s - loss: 0.4856 - acc: 0.7500
115/254 [============>.................] - ETA: 0s - loss: 0.4845 - acc: 0.7548
133/254 [==============>...............] - ETA: 0s - loss: 0.4855 - acc: 0.7575
151/254 [================>.............] - ETA: 0s - loss: 0.4859 - acc: 0.7553
170/254 [===================>..........] - ETA: 0s - loss: 0.4857 - acc: 0.7556
188/254 [=====================>........] - ETA: 0s - loss: 0.4785 - acc: 0.7588
206/254 [=======================>......] - ETA: 0s - loss: 0.4794 - acc: 0.7600
224/254 [=========================>....] - ETA: 0s - loss: 0.4802 - acc: 0.7598
244/254 [===========================>..] - ETA: 0s - loss: 0.4834 - acc: 0.7588
254/254 [==============================] - 1s 3ms/step - loss: 0.4836 - acc: 0.7575
254/254 [==============================] - 1s 4ms/step - loss: 0.4836 - acc: 0.7575 - val_loss: 0.4989 - val_acc: 0.7407
Epoch 21/30
1/254 [..............................] - ETA: 0s - loss: 0.3772 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4802 - acc: 0.7500
38/254 [===>..........................] - ETA: 0s - loss: 0.4823 - acc: 0.7447
58/254 [=====>........................] - ETA: 0s - loss: 0.4947 - acc: 0.7500
77/254 [========>.....................] - ETA: 0s - loss: 0.4968 - acc: 0.7435
93/254 [=========>....................] - ETA: 0s - loss: 0.4891 - acc: 0.7478
111/254 [============>.................] - ETA: 0s - loss: 0.4830 - acc: 0.7523
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141/254 [===============>..............] - ETA: 0s - loss: 0.4758 - acc: 0.7557
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170/254 [===================>..........] - ETA: 0s - loss: 0.4790 - acc: 0.7565
183/254 [====================>.........] - ETA: 0s - loss: 0.4793 - acc: 0.7582
201/254 [======================>.......] - ETA: 0s - loss: 0.4830 - acc: 0.7535
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235/254 [==========================>...] - ETA: 0s - loss: 0.4805 - acc: 0.7547
252/254 [============================>.] - ETA: 0s - loss: 0.4832 - acc: 0.7536
254/254 [==============================] - 1s 3ms/step - loss: 0.4830 - acc: 0.7532
254/254 [==============================] - 1s 4ms/step - loss: 0.4830 - acc: 0.7532 - val_loss: 0.4792 - val_acc: 0.7567
Epoch 22/30
1/254 [..............................] - ETA: 0s - loss: 0.2450 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4611 - acc: 0.7472
38/254 [===>..........................] - ETA: 0s - loss: 0.4687 - acc: 0.7513
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250/254 [============================>.] - ETA: 0s - loss: 0.4805 - acc: 0.7528
254/254 [==============================] - 1s 3ms/step - loss: 0.4809 - acc: 0.7536
254/254 [==============================] - 1s 4ms/step - loss: 0.4809 - acc: 0.7536 - val_loss: 0.4731 - val_acc: 0.7691
Epoch 23/30
1/254 [..............................] - ETA: 1s - loss: 0.4907 - acc: 0.5500
18/254 [=>............................] - ETA: 0s - loss: 0.4386 - acc: 0.7639
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111/254 [============>.................] - ETA: 0s - loss: 0.4827 - acc: 0.7514
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251/254 [============================>.] - ETA: 0s - loss: 0.4856 - acc: 0.7518
254/254 [==============================] - 1s 4ms/step - loss: 0.4853 - acc: 0.7524
254/254 [==============================] - 1s 4ms/step - loss: 0.4853 - acc: 0.7524 - val_loss: 0.4807 - val_acc: 0.7638
Epoch 24/30
1/254 [..............................] - ETA: 0s - loss: 0.4222 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4823 - acc: 0.7611
37/254 [===>..........................] - ETA: 0s - loss: 0.4856 - acc: 0.7459
56/254 [=====>........................] - ETA: 0s - loss: 0.4808 - acc: 0.7429
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138/254 [===============>..............] - ETA: 0s - loss: 0.4763 - acc: 0.7507
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209/254 [=======================>......] - ETA: 0s - loss: 0.4803 - acc: 0.7557
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240/254 [===========================>..] - ETA: 0s - loss: 0.4792 - acc: 0.7550
254/254 [==============================] - 1s 3ms/step - loss: 0.4798 - acc: 0.7560
254/254 [==============================] - 1s 4ms/step - loss: 0.4798 - acc: 0.7560 - val_loss: 0.4626 - val_acc: 0.7780
Epoch 25/30
1/254 [..............................] - ETA: 0s - loss: 0.5300 - acc: 0.7000
12/254 [>.............................] - ETA: 1s - loss: 0.5078 - acc: 0.7708
32/254 [==>...........................] - ETA: 0s - loss: 0.4938 - acc: 0.7688
48/254 [====>.........................] - ETA: 0s - loss: 0.4808 - acc: 0.7750
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112/254 [============>.................] - ETA: 0s - loss: 0.4728 - acc: 0.7647
129/254 [==============>...............] - ETA: 0s - loss: 0.4814 - acc: 0.7651
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202/254 [======================>.......] - ETA: 0s - loss: 0.4792 - acc: 0.7624
218/254 [========================>.....] - ETA: 0s - loss: 0.4851 - acc: 0.7599
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254/254 [==============================] - 1s 3ms/step - loss: 0.4812 - acc: 0.7587
254/254 [==============================] - 1s 4ms/step - loss: 0.4812 - acc: 0.7587 - val_loss: 0.4643 - val_acc: 0.7691
Epoch 26/30
1/254 [..............................] - ETA: 1s - loss: 0.4490 - acc: 0.8000
14/254 [>.............................] - ETA: 1s - loss: 0.5021 - acc: 0.7679
32/254 [==>...........................] - ETA: 1s - loss: 0.4871 - acc: 0.7812
40/254 [===>..........................] - ETA: 1s - loss: 0.4719 - acc: 0.7887
57/254 [=====>........................] - ETA: 0s - loss: 0.4810 - acc: 0.7754
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114/254 [============>.................] - ETA: 0s - loss: 0.4822 - acc: 0.7579
132/254 [==============>...............] - ETA: 0s - loss: 0.4866 - acc: 0.7553
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184/254 [====================>.........] - ETA: 0s - loss: 0.4783 - acc: 0.7609
202/254 [======================>.......] - ETA: 0s - loss: 0.4818 - acc: 0.7601
220/254 [========================>.....] - ETA: 0s - loss: 0.4826 - acc: 0.7593
239/254 [===========================>..] - ETA: 0s - loss: 0.4800 - acc: 0.7586
254/254 [==============================] - 1s 4ms/step - loss: 0.4786 - acc: 0.7607
254/254 [==============================] - 1s 5ms/step - loss: 0.4786 - acc: 0.7607 - val_loss: 0.4971 - val_acc: 0.7567
Epoch 27/30
1/254 [..............................] - ETA: 1s - loss: 0.5208 - acc: 0.8500
16/254 [>.............................] - ETA: 0s - loss: 0.5004 - acc: 0.7188
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125/254 [=============>................] - ETA: 0s - loss: 0.4790 - acc: 0.7524
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254/254 [==============================] - 1s 3ms/step - loss: 0.4800 - acc: 0.7518
254/254 [==============================] - 1s 4ms/step - loss: 0.4800 - acc: 0.7518 - val_loss: 0.4772 - val_acc: 0.7655
Epoch 28/30
1/254 [..............................] - ETA: 1s - loss: 0.3441 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.5059 - acc: 0.7353
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221/254 [=========================>....] - ETA: 0s - loss: 0.4813 - acc: 0.7584
240/254 [===========================>..] - ETA: 0s - loss: 0.4775 - acc: 0.7571
254/254 [==============================] - 1s 3ms/step - loss: 0.4782 - acc: 0.7571
254/254 [==============================] - 1s 5ms/step - loss: 0.4782 - acc: 0.7571 - val_loss: 0.4592 - val_acc: 0.7709
Epoch 29/30
1/254 [..............................] - ETA: 0s - loss: 0.4412 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.4596 - acc: 0.7382
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111/254 [============>.................] - ETA: 0s - loss: 0.4933 - acc: 0.7500
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149/254 [================>.............] - ETA: 0s - loss: 0.4922 - acc: 0.7503
166/254 [==================>...........] - ETA: 0s - loss: 0.4868 - acc: 0.7509
182/254 [====================>.........] - ETA: 0s - loss: 0.4853 - acc: 0.7514
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219/254 [========================>.....] - ETA: 0s - loss: 0.4835 - acc: 0.7527
238/254 [===========================>..] - ETA: 0s - loss: 0.4822 - acc: 0.7517
254/254 [==============================] - 1s 3ms/step - loss: 0.4800 - acc: 0.7532
254/254 [==============================] - 1s 4ms/step - loss: 0.4800 - acc: 0.7532 - val_loss: 0.4777 - val_acc: 0.7673
Epoch 30/30
1/254 [..............................] - ETA: 0s - loss: 0.4679 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.4936 - acc: 0.7289
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131/254 [==============>...............] - ETA: 0s - loss: 0.4776 - acc: 0.7603
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241/254 [===========================>..] - ETA: 0s - loss: 0.4842 - acc: 0.7525
254/254 [==============================] - 1s 3ms/step - loss: 0.4838 - acc: 0.7522
254/254 [==============================] - 1s 4ms/step - loss: 0.4838 - acc: 0.7522 - val_loss: 0.4912 - val_acc: 0.7584
Run completed: runs/2024-05-06T19-40-03Z
Training run 21/52 (flags = list(32, 64, 0.001, 20, 50, "relu", "tanh", 0.2, 0.2))
Using run directory runs/2024-05-06T19-40-38Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 4:56 - loss: 0.5195 - acc: 0.5000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0287s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0287s). Check your callbacks.
18/254 [=>............................] - ETA: 0s - loss: 0.6301 - acc: 0.7167
37/254 [===>..........................] - ETA: 0s - loss: 0.5990 - acc: 0.7270
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233/254 [==========================>...] - ETA: 0s - loss: 0.5435 - acc: 0.7339
251/254 [============================>.] - ETA: 0s - loss: 0.5404 - acc: 0.7349
254/254 [==============================] - 2s 3ms/step - loss: 0.5400 - acc: 0.7357
254/254 [==============================] - 3s 6ms/step - loss: 0.5400 - acc: 0.7357 - val_loss: 0.5080 - val_acc: 0.7336
Epoch 2/50
1/254 [..............................] - ETA: 1s - loss: 0.5187 - acc: 0.7000
12/254 [>.............................] - ETA: 1s - loss: 0.5641 - acc: 0.6625
28/254 [==>...........................] - ETA: 0s - loss: 0.5397 - acc: 0.7268
46/254 [====>.........................] - ETA: 0s - loss: 0.5335 - acc: 0.7261
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77/254 [========>.....................] - ETA: 0s - loss: 0.5310 - acc: 0.7253
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106/254 [===========>..................] - ETA: 0s - loss: 0.5229 - acc: 0.7335
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128/254 [==============>...............] - ETA: 0s - loss: 0.5148 - acc: 0.7359
146/254 [================>.............] - ETA: 0s - loss: 0.5122 - acc: 0.7418
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182/254 [====================>.........] - ETA: 0s - loss: 0.5116 - acc: 0.7393
190/254 [=====================>........] - ETA: 0s - loss: 0.5118 - acc: 0.7382
205/254 [=======================>......] - ETA: 0s - loss: 0.5104 - acc: 0.7400
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235/254 [==========================>...] - ETA: 0s - loss: 0.5081 - acc: 0.7411
254/254 [==============================] - 1s 4ms/step - loss: 0.5061 - acc: 0.7418
254/254 [==============================] - 1s 4ms/step - loss: 0.5061 - acc: 0.7418 - val_loss: 0.4543 - val_acc: 0.7798
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.6798 - acc: 0.7000
20/254 [=>............................] - ETA: 0s - loss: 0.4932 - acc: 0.7725
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112/254 [============>.................] - ETA: 0s - loss: 0.4856 - acc: 0.7531
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131/254 [==============>...............] - ETA: 0s - loss: 0.4919 - acc: 0.7523
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166/254 [==================>...........] - ETA: 0s - loss: 0.4895 - acc: 0.7515
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210/254 [=======================>......] - ETA: 0s - loss: 0.5006 - acc: 0.7431
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248/254 [============================>.] - ETA: 0s - loss: 0.4995 - acc: 0.7440
254/254 [==============================] - 1s 3ms/step - loss: 0.4986 - acc: 0.7435
254/254 [==============================] - 1s 5ms/step - loss: 0.4986 - acc: 0.7435 - val_loss: 0.4813 - val_acc: 0.7549
Epoch 4/50
1/254 [..............................] - ETA: 1s - loss: 0.3775 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4548 - acc: 0.7806
30/254 [==>...........................] - ETA: 0s - loss: 0.4790 - acc: 0.7733
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94/254 [==========>...................] - ETA: 0s - loss: 0.4976 - acc: 0.7553
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128/254 [==============>...............] - ETA: 0s - loss: 0.4914 - acc: 0.7559
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165/254 [==================>...........] - ETA: 0s - loss: 0.5040 - acc: 0.7494
182/254 [====================>.........] - ETA: 0s - loss: 0.4991 - acc: 0.7505
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220/254 [========================>.....] - ETA: 0s - loss: 0.4996 - acc: 0.7493
236/254 [==========================>...] - ETA: 0s - loss: 0.4954 - acc: 0.7502
254/254 [==============================] - 1s 3ms/step - loss: 0.4938 - acc: 0.7512
254/254 [==============================] - 1s 4ms/step - loss: 0.4938 - acc: 0.7512 - val_loss: 0.4680 - val_acc: 0.7744
Epoch 5/50
1/254 [..............................] - ETA: 0s - loss: 0.5025 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.4469 - acc: 0.7529
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216/254 [========================>.....] - ETA: 0s - loss: 0.4916 - acc: 0.7394
233/254 [==========================>...] - ETA: 0s - loss: 0.4883 - acc: 0.7397
251/254 [============================>.] - ETA: 0s - loss: 0.4854 - acc: 0.7446
254/254 [==============================] - 1s 3ms/step - loss: 0.4852 - acc: 0.7443
254/254 [==============================] - 1s 4ms/step - loss: 0.4852 - acc: 0.7443 - val_loss: 0.4736 - val_acc: 0.7620
Epoch 6/50
1/254 [..............................] - ETA: 1s - loss: 0.5295 - acc: 0.7500
14/254 [>.............................] - ETA: 0s - loss: 0.4415 - acc: 0.7536
33/254 [==>...........................] - ETA: 0s - loss: 0.4957 - acc: 0.7515
45/254 [====>.........................] - ETA: 0s - loss: 0.4947 - acc: 0.7489
51/254 [=====>........................] - ETA: 0s - loss: 0.4936 - acc: 0.7490
69/254 [=======>......................] - ETA: 0s - loss: 0.4780 - acc: 0.7536
79/254 [========>.....................] - ETA: 0s - loss: 0.4850 - acc: 0.7487
98/254 [==========>...................] - ETA: 0s - loss: 0.4778 - acc: 0.7515
115/254 [============>.................] - ETA: 0s - loss: 0.4842 - acc: 0.7513
133/254 [==============>...............] - ETA: 0s - loss: 0.4769 - acc: 0.7549
151/254 [================>.............] - ETA: 0s - loss: 0.4768 - acc: 0.7543
169/254 [==================>...........] - ETA: 0s - loss: 0.4821 - acc: 0.7536
187/254 [=====================>........] - ETA: 0s - loss: 0.4865 - acc: 0.7497
205/254 [=======================>......] - ETA: 0s - loss: 0.4882 - acc: 0.7502
223/254 [=========================>....] - ETA: 0s - loss: 0.4873 - acc: 0.7493
239/254 [===========================>..] - ETA: 0s - loss: 0.4865 - acc: 0.7498
254/254 [==============================] - 1s 3ms/step - loss: 0.4850 - acc: 0.7491
254/254 [==============================] - 1s 4ms/step - loss: 0.4850 - acc: 0.7491 - val_loss: 0.4669 - val_acc: 0.7709
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.3606 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4795 - acc: 0.7474
39/254 [===>..........................] - ETA: 0s - loss: 0.4775 - acc: 0.7436
58/254 [=====>........................] - ETA: 0s - loss: 0.4922 - acc: 0.7440
65/254 [======>.......................] - ETA: 0s - loss: 0.4844 - acc: 0.7454
82/254 [========>.....................] - ETA: 0s - loss: 0.4741 - acc: 0.7415
90/254 [=========>....................] - ETA: 0s - loss: 0.4748 - acc: 0.7467
104/254 [===========>..................] - ETA: 0s - loss: 0.4747 - acc: 0.7490
120/254 [=============>................] - ETA: 0s - loss: 0.4748 - acc: 0.7529
139/254 [===============>..............] - ETA: 0s - loss: 0.4788 - acc: 0.7525
156/254 [=================>............] - ETA: 0s - loss: 0.4794 - acc: 0.7522
173/254 [===================>..........] - ETA: 0s - loss: 0.4820 - acc: 0.7506
192/254 [=====================>........] - ETA: 0s - loss: 0.4843 - acc: 0.7510
210/254 [=======================>......] - ETA: 0s - loss: 0.4836 - acc: 0.7507
227/254 [=========================>....] - ETA: 0s - loss: 0.4853 - acc: 0.7507
245/254 [===========================>..] - ETA: 0s - loss: 0.4840 - acc: 0.7522
254/254 [==============================] - 1s 3ms/step - loss: 0.4858 - acc: 0.7504
254/254 [==============================] - 1s 4ms/step - loss: 0.4858 - acc: 0.7504 - val_loss: 0.4808 - val_acc: 0.7691
Epoch 8/50
1/254 [..............................] - ETA: 1s - loss: 0.3789 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4649 - acc: 0.7583
37/254 [===>..........................] - ETA: 0s - loss: 0.4783 - acc: 0.7419
56/254 [=====>........................] - ETA: 0s - loss: 0.4976 - acc: 0.7464
75/254 [=======>......................] - ETA: 0s - loss: 0.4904 - acc: 0.7507
92/254 [=========>....................] - ETA: 0s - loss: 0.4872 - acc: 0.7554
111/254 [============>.................] - ETA: 0s - loss: 0.4812 - acc: 0.7554
130/254 [==============>...............] - ETA: 0s - loss: 0.4850 - acc: 0.7508
148/254 [================>.............] - ETA: 0s - loss: 0.4829 - acc: 0.7507
165/254 [==================>...........] - ETA: 0s - loss: 0.4792 - acc: 0.7518
184/254 [====================>.........] - ETA: 0s - loss: 0.4783 - acc: 0.7533
203/254 [======================>.......] - ETA: 0s - loss: 0.4741 - acc: 0.7549
222/254 [=========================>....] - ETA: 0s - loss: 0.4721 - acc: 0.7561
239/254 [===========================>..] - ETA: 0s - loss: 0.4781 - acc: 0.7548
252/254 [============================>.] - ETA: 0s - loss: 0.4779 - acc: 0.7540
254/254 [==============================] - 1s 3ms/step - loss: 0.4789 - acc: 0.7534
254/254 [==============================] - 1s 4ms/step - loss: 0.4789 - acc: 0.7534 - val_loss: 0.4918 - val_acc: 0.7442
Epoch 9/50
1/254 [..............................] - ETA: 1s - loss: 0.5221 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4740 - acc: 0.7889
37/254 [===>..........................] - ETA: 0s - loss: 0.4492 - acc: 0.7811
55/254 [=====>........................] - ETA: 0s - loss: 0.4583 - acc: 0.7800
72/254 [=======>......................] - ETA: 0s - loss: 0.4717 - acc: 0.7681
89/254 [=========>....................] - ETA: 0s - loss: 0.4831 - acc: 0.7652
107/254 [===========>..................] - ETA: 0s - loss: 0.4764 - acc: 0.7659
125/254 [=============>................] - ETA: 0s - loss: 0.4681 - acc: 0.7652
142/254 [===============>..............] - ETA: 0s - loss: 0.4677 - acc: 0.7665
159/254 [=================>............] - ETA: 0s - loss: 0.4662 - acc: 0.7651
177/254 [===================>..........] - ETA: 0s - loss: 0.4641 - acc: 0.7689
195/254 [======================>.......] - ETA: 0s - loss: 0.4662 - acc: 0.7679
212/254 [========================>.....] - ETA: 0s - loss: 0.4680 - acc: 0.7656
231/254 [==========================>...] - ETA: 0s - loss: 0.4724 - acc: 0.7617
249/254 [============================>.] - ETA: 0s - loss: 0.4740 - acc: 0.7594
254/254 [==============================] - 1s 3ms/step - loss: 0.4740 - acc: 0.7583
254/254 [==============================] - 1s 4ms/step - loss: 0.4740 - acc: 0.7583 - val_loss: 0.4692 - val_acc: 0.7691
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.4249 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.4473 - acc: 0.8000
37/254 [===>..........................] - ETA: 0s - loss: 0.4677 - acc: 0.7622
55/254 [=====>........................] - ETA: 0s - loss: 0.4623 - acc: 0.7664
72/254 [=======>......................] - ETA: 0s - loss: 0.4765 - acc: 0.7486
89/254 [=========>....................] - ETA: 0s - loss: 0.4701 - acc: 0.7506
108/254 [===========>..................] - ETA: 0s - loss: 0.4765 - acc: 0.7486
127/254 [==============>...............] - ETA: 0s - loss: 0.4778 - acc: 0.7484
145/254 [================>.............] - ETA: 0s - loss: 0.4789 - acc: 0.7476
164/254 [==================>...........] - ETA: 0s - loss: 0.4810 - acc: 0.7503
181/254 [====================>.........] - ETA: 0s - loss: 0.4791 - acc: 0.7508
199/254 [======================>.......] - ETA: 0s - loss: 0.4779 - acc: 0.7518
217/254 [========================>.....] - ETA: 0s - loss: 0.4771 - acc: 0.7530
225/254 [=========================>....] - ETA: 0s - loss: 0.4772 - acc: 0.7527
233/254 [==========================>...] - ETA: 0s - loss: 0.4772 - acc: 0.7517
249/254 [============================>.] - ETA: 0s - loss: 0.4758 - acc: 0.7550
254/254 [==============================] - 1s 3ms/step - loss: 0.4768 - acc: 0.7542
254/254 [==============================] - 1s 4ms/step - loss: 0.4768 - acc: 0.7542 - val_loss: 0.4988 - val_acc: 0.7531
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.6073 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5058 - acc: 0.7444
38/254 [===>..........................] - ETA: 0s - loss: 0.4870 - acc: 0.7539
57/254 [=====>........................] - ETA: 0s - loss: 0.4724 - acc: 0.7535
75/254 [=======>......................] - ETA: 0s - loss: 0.4686 - acc: 0.7600
91/254 [=========>....................] - ETA: 0s - loss: 0.4694 - acc: 0.7566
109/254 [===========>..................] - ETA: 0s - loss: 0.4722 - acc: 0.7587
128/254 [==============>...............] - ETA: 0s - loss: 0.4662 - acc: 0.7641
146/254 [================>.............] - ETA: 0s - loss: 0.4681 - acc: 0.7623
164/254 [==================>...........] - ETA: 0s - loss: 0.4626 - acc: 0.7640
184/254 [====================>.........] - ETA: 0s - loss: 0.4613 - acc: 0.7652
193/254 [=====================>........] - ETA: 0s - loss: 0.4653 - acc: 0.7635
202/254 [======================>.......] - ETA: 0s - loss: 0.4655 - acc: 0.7663
219/254 [========================>.....] - ETA: 0s - loss: 0.4661 - acc: 0.7637
238/254 [===========================>..] - ETA: 0s - loss: 0.4669 - acc: 0.7588
247/254 [============================>.] - ETA: 0s - loss: 0.4705 - acc: 0.7567
254/254 [==============================] - 1s 3ms/step - loss: 0.4717 - acc: 0.7562
254/254 [==============================] - 1s 4ms/step - loss: 0.4717 - acc: 0.7562 - val_loss: 0.4823 - val_acc: 0.7584
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.3695 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4549 - acc: 0.7632
39/254 [===>..........................] - ETA: 0s - loss: 0.4606 - acc: 0.7615
58/254 [=====>........................] - ETA: 0s - loss: 0.4644 - acc: 0.7629
73/254 [=======>......................] - ETA: 0s - loss: 0.4751 - acc: 0.7596
92/254 [=========>....................] - ETA: 0s - loss: 0.4774 - acc: 0.7549
112/254 [============>.................] - ETA: 0s - loss: 0.4706 - acc: 0.7571
130/254 [==============>...............] - ETA: 0s - loss: 0.4713 - acc: 0.7554
150/254 [================>.............] - ETA: 0s - loss: 0.4689 - acc: 0.7593
162/254 [==================>...........] - ETA: 0s - loss: 0.4688 - acc: 0.7596
177/254 [===================>..........] - ETA: 0s - loss: 0.4665 - acc: 0.7624
197/254 [======================>.......] - ETA: 0s - loss: 0.4661 - acc: 0.7642
205/254 [=======================>......] - ETA: 0s - loss: 0.4654 - acc: 0.7637
223/254 [=========================>....] - ETA: 0s - loss: 0.4679 - acc: 0.7605
238/254 [===========================>..] - ETA: 0s - loss: 0.4710 - acc: 0.7590
254/254 [==============================] - 1s 3ms/step - loss: 0.4707 - acc: 0.7591
254/254 [==============================] - 1s 4ms/step - loss: 0.4707 - acc: 0.7591 - val_loss: 0.4887 - val_acc: 0.7460
Run completed: runs/2024-05-06T19-40-38Z
Training run 22/52 (flags = list(32, 64, 0.01, 50, 30, "sigmoid", "tanh", 0.2, 0.5))
Using run directory runs/2024-05-06T19-40-53Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:38 - loss: 0.8072 - acc: 0.5000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0963s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0963s). Check your callbacks.
19/102 [====>.........................] - ETA: 0s - loss: 0.7432 - acc: 0.4432
36/102 [=========>....................] - ETA: 0s - loss: 0.7098 - acc: 0.5406
54/102 [==============>...............] - ETA: 0s - loss: 0.6846 - acc: 0.5600
71/102 [===================>..........] - ETA: 0s - loss: 0.6678 - acc: 0.5876
86/102 [========================>.....] - ETA: 0s - loss: 0.6519 - acc: 0.6056
99/102 [============================>.] - ETA: 0s - loss: 0.6380 - acc: 0.6222
102/102 [==============================] - 2s 3ms/step - loss: 0.6354 - acc: 0.6253
102/102 [==============================] - 3s 12ms/step - loss: 0.6354 - acc: 0.6253 - val_loss: 0.4864 - val_acc: 0.7851
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.5251 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.5223 - acc: 0.7489
36/102 [=========>....................] - ETA: 0s - loss: 0.5314 - acc: 0.7317
43/102 [===========>..................] - ETA: 0s - loss: 0.5338 - acc: 0.7307
59/102 [================>.............] - ETA: 0s - loss: 0.5443 - acc: 0.7234
73/102 [====================>.........] - ETA: 0s - loss: 0.5391 - acc: 0.7247
80/102 [======================>.......] - ETA: 0s - loss: 0.5359 - acc: 0.7272
89/102 [=========================>....] - ETA: 0s - loss: 0.5370 - acc: 0.7272
102/102 [==============================] - 0s 4ms/step - loss: 0.5345 - acc: 0.7305
102/102 [==============================] - 1s 7ms/step - loss: 0.5345 - acc: 0.7305 - val_loss: 0.5213 - val_acc: 0.7531
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.5700 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.5347 - acc: 0.7211
36/102 [=========>....................] - ETA: 0s - loss: 0.5323 - acc: 0.7389
54/102 [==============>...............] - ETA: 0s - loss: 0.5303 - acc: 0.7333
72/102 [====================>.........] - ETA: 0s - loss: 0.5271 - acc: 0.7367
89/102 [=========================>....] - ETA: 0s - loss: 0.5257 - acc: 0.7422
102/102 [==============================] - 0s 3ms/step - loss: 0.5225 - acc: 0.7416
102/102 [==============================] - 1s 6ms/step - loss: 0.5225 - acc: 0.7416 - val_loss: 0.4930 - val_acc: 0.7638
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.4709 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.4920 - acc: 0.7544
33/102 [========>.....................] - ETA: 0s - loss: 0.5177 - acc: 0.7315
51/102 [==============>...............] - ETA: 0s - loss: 0.5203 - acc: 0.7427
62/102 [=================>............] - ETA: 0s - loss: 0.5137 - acc: 0.7423
80/102 [======================>.......] - ETA: 0s - loss: 0.5085 - acc: 0.7462
97/102 [===========================>..] - ETA: 0s - loss: 0.5076 - acc: 0.7499
102/102 [==============================] - 0s 3ms/step - loss: 0.5064 - acc: 0.7500
102/102 [==============================] - 1s 6ms/step - loss: 0.5064 - acc: 0.7500 - val_loss: 0.4849 - val_acc: 0.7655
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.7262 - acc: 0.6600
18/102 [====>.........................] - ETA: 0s - loss: 0.5356 - acc: 0.7244
36/102 [=========>....................] - ETA: 0s - loss: 0.5128 - acc: 0.7450
55/102 [===============>..............] - ETA: 0s - loss: 0.5152 - acc: 0.7418
72/102 [====================>.........] - ETA: 0s - loss: 0.5174 - acc: 0.7414
89/102 [=========================>....] - ETA: 0s - loss: 0.5133 - acc: 0.7402
102/102 [==============================] - 0s 3ms/step - loss: 0.5120 - acc: 0.7424
102/102 [==============================] - 1s 5ms/step - loss: 0.5120 - acc: 0.7424 - val_loss: 0.4763 - val_acc: 0.7673
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.6241 - acc: 0.6800
16/102 [===>..........................] - ETA: 0s - loss: 0.5306 - acc: 0.7462
34/102 [=========>....................] - ETA: 0s - loss: 0.5119 - acc: 0.7371
52/102 [==============>...............] - ETA: 0s - loss: 0.5095 - acc: 0.7504
70/102 [===================>..........] - ETA: 0s - loss: 0.5049 - acc: 0.7537
86/102 [========================>.....] - ETA: 0s - loss: 0.5012 - acc: 0.7563
102/102 [==============================] - 0s 3ms/step - loss: 0.5043 - acc: 0.7556
102/102 [==============================] - 1s 6ms/step - loss: 0.5043 - acc: 0.7556 - val_loss: 0.4900 - val_acc: 0.7620
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.4905 - acc: 0.8200
18/102 [====>.........................] - ETA: 0s - loss: 0.5080 - acc: 0.7478
34/102 [=========>....................] - ETA: 0s - loss: 0.4983 - acc: 0.7524
52/102 [==============>...............] - ETA: 0s - loss: 0.5142 - acc: 0.7504
62/102 [=================>............] - ETA: 0s - loss: 0.5154 - acc: 0.7500
77/102 [=====================>........] - ETA: 0s - loss: 0.5121 - acc: 0.7465
92/102 [==========================>...] - ETA: 0s - loss: 0.5074 - acc: 0.7500
102/102 [==============================] - 0s 4ms/step - loss: 0.5043 - acc: 0.7532
102/102 [==============================] - 1s 6ms/step - loss: 0.5043 - acc: 0.7532 - val_loss: 0.4731 - val_acc: 0.7691
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.5594 - acc: 0.8400
17/102 [====>.........................] - ETA: 0s - loss: 0.4655 - acc: 0.7659
35/102 [=========>....................] - ETA: 0s - loss: 0.4917 - acc: 0.7600
52/102 [==============>...............] - ETA: 0s - loss: 0.4963 - acc: 0.7581
68/102 [===================>..........] - ETA: 0s - loss: 0.5078 - acc: 0.7479
84/102 [=======================>......] - ETA: 0s - loss: 0.5016 - acc: 0.7560
99/102 [============================>.] - ETA: 0s - loss: 0.5021 - acc: 0.7531
102/102 [==============================] - 0s 3ms/step - loss: 0.5019 - acc: 0.7528
102/102 [==============================] - 1s 5ms/step - loss: 0.5019 - acc: 0.7528 - val_loss: 0.4725 - val_acc: 0.7691
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.5385 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.4834 - acc: 0.7741
20/102 [====>.........................] - ETA: 0s - loss: 0.4757 - acc: 0.7780
36/102 [=========>....................] - ETA: 0s - loss: 0.4875 - acc: 0.7656
53/102 [==============>...............] - ETA: 0s - loss: 0.4888 - acc: 0.7596
64/102 [=================>............] - ETA: 0s - loss: 0.4918 - acc: 0.7588
79/102 [======================>.......] - ETA: 0s - loss: 0.4918 - acc: 0.7549
96/102 [===========================>..] - ETA: 0s - loss: 0.4918 - acc: 0.7527
102/102 [==============================] - 0s 4ms/step - loss: 0.4957 - acc: 0.7534
102/102 [==============================] - 1s 7ms/step - loss: 0.4957 - acc: 0.7534 - val_loss: 0.4758 - val_acc: 0.7638
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.4529 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.4802 - acc: 0.7553
33/102 [========>.....................] - ETA: 0s - loss: 0.4867 - acc: 0.7485
49/102 [=============>................] - ETA: 0s - loss: 0.4820 - acc: 0.7559
65/102 [==================>...........] - ETA: 0s - loss: 0.4881 - acc: 0.7557
83/102 [=======================>......] - ETA: 0s - loss: 0.5000 - acc: 0.7477
99/102 [============================>.] - ETA: 0s - loss: 0.4959 - acc: 0.7499
102/102 [==============================] - 0s 3ms/step - loss: 0.4972 - acc: 0.7497
102/102 [==============================] - 1s 6ms/step - loss: 0.4972 - acc: 0.7497 - val_loss: 0.4896 - val_acc: 0.7602
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.3523 - acc: 0.7600
16/102 [===>..........................] - ETA: 0s - loss: 0.4924 - acc: 0.7400
34/102 [=========>....................] - ETA: 0s - loss: 0.4692 - acc: 0.7565
52/102 [==============>...............] - ETA: 0s - loss: 0.4752 - acc: 0.7615
69/102 [===================>..........] - ETA: 0s - loss: 0.4875 - acc: 0.7545
84/102 [=======================>......] - ETA: 0s - loss: 0.4921 - acc: 0.7493
102/102 [==============================] - 0s 3ms/step - loss: 0.4948 - acc: 0.7485
102/102 [==============================] - 1s 5ms/step - loss: 0.4948 - acc: 0.7485 - val_loss: 0.5059 - val_acc: 0.7460
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.4786 - acc: 0.6200
17/102 [====>.........................] - ETA: 0s - loss: 0.4763 - acc: 0.7494
35/102 [=========>....................] - ETA: 0s - loss: 0.4807 - acc: 0.7680
46/102 [============>.................] - ETA: 0s - loss: 0.4906 - acc: 0.7622
61/102 [================>.............] - ETA: 0s - loss: 0.4895 - acc: 0.7541
79/102 [======================>.......] - ETA: 0s - loss: 0.4908 - acc: 0.7532
94/102 [==========================>...] - ETA: 0s - loss: 0.4955 - acc: 0.7504
102/102 [==============================] - 0s 3ms/step - loss: 0.4950 - acc: 0.7512
102/102 [==============================] - 1s 6ms/step - loss: 0.4950 - acc: 0.7512 - val_loss: 0.4853 - val_acc: 0.7584
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.5353 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.5008 - acc: 0.7367
36/102 [=========>....................] - ETA: 0s - loss: 0.5082 - acc: 0.7289
53/102 [==============>...............] - ETA: 0s - loss: 0.4967 - acc: 0.7423
69/102 [===================>..........] - ETA: 0s - loss: 0.4947 - acc: 0.7493
84/102 [=======================>......] - ETA: 0s - loss: 0.4967 - acc: 0.7510
102/102 [==============================] - 0s 3ms/step - loss: 0.4961 - acc: 0.7508
102/102 [==============================] - 1s 5ms/step - loss: 0.4961 - acc: 0.7508 - val_loss: 0.4771 - val_acc: 0.7638
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.7709 - acc: 0.7000
9/102 [=>............................] - ETA: 0s - loss: 0.5062 - acc: 0.7356
19/102 [====>.........................] - ETA: 0s - loss: 0.5138 - acc: 0.7484
35/102 [=========>....................] - ETA: 0s - loss: 0.5150 - acc: 0.7389
51/102 [==============>...............] - ETA: 0s - loss: 0.5064 - acc: 0.7424
69/102 [===================>..........] - ETA: 0s - loss: 0.4945 - acc: 0.7510
86/102 [========================>.....] - ETA: 0s - loss: 0.4891 - acc: 0.7519
91/102 [=========================>....] - ETA: 0s - loss: 0.4879 - acc: 0.7514
102/102 [==============================] - 0s 4ms/step - loss: 0.4918 - acc: 0.7516
102/102 [==============================] - 1s 8ms/step - loss: 0.4918 - acc: 0.7516 - val_loss: 0.4814 - val_acc: 0.7620
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.5065 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.4721 - acc: 0.7647
34/102 [=========>....................] - ETA: 0s - loss: 0.4730 - acc: 0.7606
51/102 [==============>...............] - ETA: 0s - loss: 0.4824 - acc: 0.7510
59/102 [================>.............] - ETA: 0s - loss: 0.4811 - acc: 0.7563
74/102 [====================>.........] - ETA: 0s - loss: 0.4789 - acc: 0.7581
92/102 [==========================>...] - ETA: 0s - loss: 0.4872 - acc: 0.7524
102/102 [==============================] - 0s 4ms/step - loss: 0.4908 - acc: 0.7516
102/102 [==============================] - 1s 6ms/step - loss: 0.4908 - acc: 0.7516 - val_loss: 0.4906 - val_acc: 0.7567
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.5537 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.4974 - acc: 0.7433
36/102 [=========>....................] - ETA: 0s - loss: 0.4873 - acc: 0.7522
54/102 [==============>...............] - ETA: 0s - loss: 0.4918 - acc: 0.7456
70/102 [===================>..........] - ETA: 0s - loss: 0.4894 - acc: 0.7526
88/102 [========================>.....] - ETA: 0s - loss: 0.4913 - acc: 0.7516
102/102 [==============================] - 0s 3ms/step - loss: 0.4926 - acc: 0.7526
102/102 [==============================] - 1s 5ms/step - loss: 0.4926 - acc: 0.7526 - val_loss: 0.4889 - val_acc: 0.7567
Epoch 17/30
1/102 [..............................] - ETA: 0s - loss: 0.7323 - acc: 0.5800
17/102 [====>.........................] - ETA: 0s - loss: 0.5063 - acc: 0.7412
35/102 [=========>....................] - ETA: 0s - loss: 0.4996 - acc: 0.7469
52/102 [==============>...............] - ETA: 0s - loss: 0.5009 - acc: 0.7435
70/102 [===================>..........] - ETA: 0s - loss: 0.4946 - acc: 0.7517
86/102 [========================>.....] - ETA: 0s - loss: 0.4925 - acc: 0.7535
102/102 [==============================] - 0s 3ms/step - loss: 0.4909 - acc: 0.7524
102/102 [==============================] - 1s 6ms/step - loss: 0.4909 - acc: 0.7524 - val_loss: 0.4847 - val_acc: 0.7620
Epoch 18/30
1/102 [..............................] - ETA: 0s - loss: 0.5435 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5182 - acc: 0.7306
35/102 [=========>....................] - ETA: 0s - loss: 0.4834 - acc: 0.7486
53/102 [==============>...............] - ETA: 0s - loss: 0.4855 - acc: 0.7570
69/102 [===================>..........] - ETA: 0s - loss: 0.4896 - acc: 0.7565
85/102 [========================>.....] - ETA: 0s - loss: 0.4947 - acc: 0.7527
102/102 [==============================] - 0s 3ms/step - loss: 0.4907 - acc: 0.7532
102/102 [==============================] - 1s 6ms/step - loss: 0.4907 - acc: 0.7532 - val_loss: 0.4880 - val_acc: 0.7549
Run completed: runs/2024-05-06T19-40-53Z
Training run 23/52 (flags = list(64, 64, 0.001, 20, 50, "relu", "tanh", 0.5, 0.5))
Using run directory runs/2024-05-06T19-41-07Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:02 - loss: 0.6536 - acc: 0.4000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0080s vs `on_train_batch_end` time: 0.0295s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0080s vs `on_train_batch_end` time: 0.0295s). Check your callbacks.
8/254 [..............................] - ETA: 1s - loss: 0.7258 - acc: 0.5188
24/254 [=>............................] - ETA: 1s - loss: 0.6748 - acc: 0.5833
35/254 [===>..........................] - ETA: 1s - loss: 0.6472 - acc: 0.6257
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53/254 [=====>........................] - ETA: 1s - loss: 0.6383 - acc: 0.6557
71/254 [=======>......................] - ETA: 0s - loss: 0.6253 - acc: 0.6592
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128/254 [==============>...............] - ETA: 0s - loss: 0.6095 - acc: 0.6746
143/254 [===============>..............] - ETA: 0s - loss: 0.6093 - acc: 0.6738
160/254 [=================>............] - ETA: 0s - loss: 0.6037 - acc: 0.6784
179/254 [====================>.........] - ETA: 0s - loss: 0.5970 - acc: 0.6835
198/254 [======================>.......] - ETA: 0s - loss: 0.5955 - acc: 0.6881
216/254 [========================>.....] - ETA: 0s - loss: 0.5908 - acc: 0.6914
235/254 [==========================>...] - ETA: 0s - loss: 0.5867 - acc: 0.6930
254/254 [==============================] - 2s 3ms/step - loss: 0.5842 - acc: 0.6978
254/254 [==============================] - 3s 7ms/step - loss: 0.5842 - acc: 0.6978 - val_loss: 0.4926 - val_acc: 0.7567
Epoch 2/50
1/254 [..............................] - ETA: 0s - loss: 0.5108 - acc: 0.7000
15/254 [>.............................] - ETA: 0s - loss: 0.5566 - acc: 0.6867
32/254 [==>...........................] - ETA: 0s - loss: 0.5398 - acc: 0.7188
50/254 [====>.........................] - ETA: 0s - loss: 0.5249 - acc: 0.7260
69/254 [=======>......................] - ETA: 0s - loss: 0.5129 - acc: 0.7319
79/254 [========>.....................] - ETA: 0s - loss: 0.5107 - acc: 0.7354
96/254 [==========>...................] - ETA: 0s - loss: 0.5185 - acc: 0.7417
111/254 [============>.................] - ETA: 0s - loss: 0.5208 - acc: 0.7378
120/254 [=============>................] - ETA: 0s - loss: 0.5251 - acc: 0.7375
139/254 [===============>..............] - ETA: 0s - loss: 0.5220 - acc: 0.7338
156/254 [=================>............] - ETA: 0s - loss: 0.5245 - acc: 0.7343
168/254 [==================>...........] - ETA: 0s - loss: 0.5228 - acc: 0.7351
180/254 [====================>.........] - ETA: 0s - loss: 0.5247 - acc: 0.7347
197/254 [======================>.......] - ETA: 0s - loss: 0.5222 - acc: 0.7368
213/254 [========================>.....] - ETA: 0s - loss: 0.5238 - acc: 0.7354
231/254 [==========================>...] - ETA: 0s - loss: 0.5224 - acc: 0.7344
249/254 [============================>.] - ETA: 0s - loss: 0.5170 - acc: 0.7373
254/254 [==============================] - 1s 3ms/step - loss: 0.5177 - acc: 0.7372
254/254 [==============================] - 1s 4ms/step - loss: 0.5177 - acc: 0.7372 - val_loss: 0.4965 - val_acc: 0.7425
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.5664 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4861 - acc: 0.7605
38/254 [===>..........................] - ETA: 0s - loss: 0.4907 - acc: 0.7526
55/254 [=====>........................] - ETA: 0s - loss: 0.4780 - acc: 0.7618
72/254 [=======>......................] - ETA: 0s - loss: 0.4967 - acc: 0.7500
89/254 [=========>....................] - ETA: 0s - loss: 0.5055 - acc: 0.7466
104/254 [===========>..................] - ETA: 0s - loss: 0.5069 - acc: 0.7476
119/254 [=============>................] - ETA: 0s - loss: 0.5131 - acc: 0.7483
131/254 [==============>...............] - ETA: 0s - loss: 0.5088 - acc: 0.7489
144/254 [================>.............] - ETA: 0s - loss: 0.5095 - acc: 0.7465
150/254 [================>.............] - ETA: 0s - loss: 0.5101 - acc: 0.7437
158/254 [=================>............] - ETA: 0s - loss: 0.5078 - acc: 0.7418
176/254 [===================>..........] - ETA: 0s - loss: 0.5033 - acc: 0.7449
195/254 [======================>.......] - ETA: 0s - loss: 0.5043 - acc: 0.7459
212/254 [========================>.....] - ETA: 0s - loss: 0.5100 - acc: 0.7429
229/254 [==========================>...] - ETA: 0s - loss: 0.5090 - acc: 0.7428
247/254 [============================>.] - ETA: 0s - loss: 0.5084 - acc: 0.7415
254/254 [==============================] - 1s 4ms/step - loss: 0.5093 - acc: 0.7422
254/254 [==============================] - 1s 5ms/step - loss: 0.5093 - acc: 0.7422 - val_loss: 0.5062 - val_acc: 0.7336
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.4101 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4831 - acc: 0.7444
34/254 [===>..........................] - ETA: 0s - loss: 0.5163 - acc: 0.7279
40/254 [===>..........................] - ETA: 0s - loss: 0.5207 - acc: 0.7237
55/254 [=====>........................] - ETA: 0s - loss: 0.5185 - acc: 0.7227
71/254 [=======>......................] - ETA: 0s - loss: 0.5228 - acc: 0.7268
85/254 [=========>....................] - ETA: 0s - loss: 0.5192 - acc: 0.7271
102/254 [===========>..................] - ETA: 0s - loss: 0.5218 - acc: 0.7284
119/254 [=============>................] - ETA: 0s - loss: 0.5226 - acc: 0.7269
138/254 [===============>..............] - ETA: 0s - loss: 0.5207 - acc: 0.7275
154/254 [=================>............] - ETA: 0s - loss: 0.5234 - acc: 0.7250
172/254 [===================>..........] - ETA: 0s - loss: 0.5121 - acc: 0.7323
187/254 [=====================>........] - ETA: 0s - loss: 0.5100 - acc: 0.7337
205/254 [=======================>......] - ETA: 0s - loss: 0.5125 - acc: 0.7339
217/254 [========================>.....] - ETA: 0s - loss: 0.5103 - acc: 0.7334
235/254 [==========================>...] - ETA: 0s - loss: 0.5084 - acc: 0.7343
252/254 [============================>.] - ETA: 0s - loss: 0.5050 - acc: 0.7355
254/254 [==============================] - 1s 3ms/step - loss: 0.5056 - acc: 0.7359
254/254 [==============================] - 1s 4ms/step - loss: 0.5056 - acc: 0.7359 - val_loss: 0.4816 - val_acc: 0.7620
Epoch 5/50
1/254 [..............................] - ETA: 1s - loss: 0.2309 - acc: 0.9500
12/254 [>.............................] - ETA: 1s - loss: 0.5013 - acc: 0.7417
19/254 [=>............................] - ETA: 1s - loss: 0.5078 - acc: 0.7237
37/254 [===>..........................] - ETA: 0s - loss: 0.5319 - acc: 0.7176
54/254 [=====>........................] - ETA: 0s - loss: 0.5180 - acc: 0.7204
72/254 [=======>......................] - ETA: 0s - loss: 0.5116 - acc: 0.7201
91/254 [=========>....................] - ETA: 0s - loss: 0.4946 - acc: 0.7319
109/254 [===========>..................] - ETA: 0s - loss: 0.4922 - acc: 0.7335
128/254 [==============>...............] - ETA: 0s - loss: 0.4952 - acc: 0.7395
142/254 [===============>..............] - ETA: 0s - loss: 0.4922 - acc: 0.7426
159/254 [=================>............] - ETA: 0s - loss: 0.4935 - acc: 0.7415
177/254 [===================>..........] - ETA: 0s - loss: 0.4987 - acc: 0.7395
195/254 [======================>.......] - ETA: 0s - loss: 0.4975 - acc: 0.7408
211/254 [=======================>......] - ETA: 0s - loss: 0.5013 - acc: 0.7415
228/254 [=========================>....] - ETA: 0s - loss: 0.4938 - acc: 0.7419
247/254 [============================>.] - ETA: 0s - loss: 0.4951 - acc: 0.7415
254/254 [==============================] - 1s 3ms/step - loss: 0.4961 - acc: 0.7408
254/254 [==============================] - 1s 5ms/step - loss: 0.4961 - acc: 0.7408 - val_loss: 0.4791 - val_acc: 0.7638
Epoch 6/50
1/254 [..............................] - ETA: 0s - loss: 0.3736 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.5067 - acc: 0.7444
36/254 [===>..........................] - ETA: 0s - loss: 0.4967 - acc: 0.7611
55/254 [=====>........................] - ETA: 0s - loss: 0.4976 - acc: 0.7600
74/254 [=======>......................] - ETA: 0s - loss: 0.5028 - acc: 0.7554
92/254 [=========>....................] - ETA: 0s - loss: 0.5083 - acc: 0.7473
110/254 [===========>..................] - ETA: 0s - loss: 0.5114 - acc: 0.7395
128/254 [==============>...............] - ETA: 0s - loss: 0.5022 - acc: 0.7387
147/254 [================>.............] - ETA: 0s - loss: 0.4972 - acc: 0.7415
165/254 [==================>...........] - ETA: 0s - loss: 0.4959 - acc: 0.7406
183/254 [====================>.........] - ETA: 0s - loss: 0.4921 - acc: 0.7415
200/254 [======================>.......] - ETA: 0s - loss: 0.4873 - acc: 0.7440
217/254 [========================>.....] - ETA: 0s - loss: 0.4874 - acc: 0.7447
234/254 [==========================>...] - ETA: 0s - loss: 0.4860 - acc: 0.7470
251/254 [============================>.] - ETA: 0s - loss: 0.4875 - acc: 0.7466
254/254 [==============================] - 1s 3ms/step - loss: 0.4884 - acc: 0.7465
254/254 [==============================] - 1s 4ms/step - loss: 0.4884 - acc: 0.7465 - val_loss: 0.4928 - val_acc: 0.7460
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.2778 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4871 - acc: 0.7395
38/254 [===>..........................] - ETA: 0s - loss: 0.4812 - acc: 0.7487
46/254 [====>.........................] - ETA: 0s - loss: 0.4716 - acc: 0.7543
56/254 [=====>........................] - ETA: 0s - loss: 0.4611 - acc: 0.7625
65/254 [======>.......................] - ETA: 0s - loss: 0.4625 - acc: 0.7662
84/254 [========>.....................] - ETA: 0s - loss: 0.4615 - acc: 0.7690
102/254 [===========>..................] - ETA: 0s - loss: 0.4629 - acc: 0.7711
120/254 [=============>................] - ETA: 0s - loss: 0.4596 - acc: 0.7675
137/254 [===============>..............] - ETA: 0s - loss: 0.4625 - acc: 0.7657
153/254 [=================>............] - ETA: 0s - loss: 0.4697 - acc: 0.7676
171/254 [===================>..........] - ETA: 0s - loss: 0.4733 - acc: 0.7649
189/254 [=====================>........] - ETA: 0s - loss: 0.4839 - acc: 0.7595
206/254 [=======================>......] - ETA: 0s - loss: 0.4854 - acc: 0.7546
222/254 [=========================>....] - ETA: 0s - loss: 0.4854 - acc: 0.7550
241/254 [===========================>..] - ETA: 0s - loss: 0.4841 - acc: 0.7544
246/254 [============================>.] - ETA: 0s - loss: 0.4868 - acc: 0.7545
254/254 [==============================] - 1s 3ms/step - loss: 0.4875 - acc: 0.7540
254/254 [==============================] - 1s 4ms/step - loss: 0.4875 - acc: 0.7540 - val_loss: 0.4958 - val_acc: 0.7425
Epoch 8/50
1/254 [..............................] - ETA: 0s - loss: 0.3244 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4309 - acc: 0.7667
37/254 [===>..........................] - ETA: 0s - loss: 0.4844 - acc: 0.7392
54/254 [=====>........................] - ETA: 0s - loss: 0.4753 - acc: 0.7472
72/254 [=======>......................] - ETA: 0s - loss: 0.4712 - acc: 0.7465
90/254 [=========>....................] - ETA: 0s - loss: 0.4736 - acc: 0.7500
109/254 [===========>..................] - ETA: 0s - loss: 0.4812 - acc: 0.7477
127/254 [==============>...............] - ETA: 0s - loss: 0.4853 - acc: 0.7488
143/254 [===============>..............] - ETA: 0s - loss: 0.4871 - acc: 0.7507
159/254 [=================>............] - ETA: 0s - loss: 0.4845 - acc: 0.7535
178/254 [====================>.........] - ETA: 0s - loss: 0.4859 - acc: 0.7500
195/254 [======================>.......] - ETA: 0s - loss: 0.4917 - acc: 0.7487
200/254 [======================>.......] - ETA: 0s - loss: 0.4939 - acc: 0.7487
217/254 [========================>.....] - ETA: 0s - loss: 0.4911 - acc: 0.7518
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233/254 [==========================>...] - ETA: 0s - loss: 0.4927 - acc: 0.7504
250/254 [============================>.] - ETA: 0s - loss: 0.4918 - acc: 0.7504
254/254 [==============================] - 1s 4ms/step - loss: 0.4911 - acc: 0.7495
254/254 [==============================] - 1s 5ms/step - loss: 0.4911 - acc: 0.7495 - val_loss: 0.4949 - val_acc: 0.7567
Epoch 9/50
1/254 [..............................] - ETA: 1s - loss: 0.4648 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4697 - acc: 0.7139
37/254 [===>..........................] - ETA: 0s - loss: 0.4717 - acc: 0.7500
55/254 [=====>........................] - ETA: 0s - loss: 0.4861 - acc: 0.7582
72/254 [=======>......................] - ETA: 0s - loss: 0.4785 - acc: 0.7597
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126/254 [=============>................] - ETA: 0s - loss: 0.4813 - acc: 0.7508
143/254 [===============>..............] - ETA: 0s - loss: 0.4899 - acc: 0.7510
161/254 [==================>...........] - ETA: 0s - loss: 0.4878 - acc: 0.7534
177/254 [===================>..........] - ETA: 0s - loss: 0.4874 - acc: 0.7542
187/254 [=====================>........] - ETA: 0s - loss: 0.4906 - acc: 0.7508
202/254 [======================>.......] - ETA: 0s - loss: 0.4921 - acc: 0.7495
220/254 [========================>.....] - ETA: 0s - loss: 0.4884 - acc: 0.7523
237/254 [==========================>...] - ETA: 0s - loss: 0.4849 - acc: 0.7540
254/254 [==============================] - 1s 3ms/step - loss: 0.4837 - acc: 0.7554
254/254 [==============================] - 1s 4ms/step - loss: 0.4837 - acc: 0.7554 - val_loss: 0.5103 - val_acc: 0.7584
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.4473 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.4978 - acc: 0.7342
38/254 [===>..........................] - ETA: 0s - loss: 0.4827 - acc: 0.7342
57/254 [=====>........................] - ETA: 0s - loss: 0.4735 - acc: 0.7500
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160/254 [=================>............] - ETA: 0s - loss: 0.4827 - acc: 0.7478
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208/254 [=======================>......] - ETA: 0s - loss: 0.4820 - acc: 0.7466
224/254 [=========================>....] - ETA: 0s - loss: 0.4804 - acc: 0.7496
243/254 [===========================>..] - ETA: 0s - loss: 0.4803 - acc: 0.7525
254/254 [==============================] - 1s 3ms/step - loss: 0.4813 - acc: 0.7514
254/254 [==============================] - 1s 4ms/step - loss: 0.4813 - acc: 0.7514 - val_loss: 0.4945 - val_acc: 0.7549
Epoch 11/50
1/254 [..............................] - ETA: 1s - loss: 0.6037 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.4622 - acc: 0.7647
35/254 [===>..........................] - ETA: 0s - loss: 0.4787 - acc: 0.7629
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235/254 [==========================>...] - ETA: 0s - loss: 0.4818 - acc: 0.7560
250/254 [============================>.] - ETA: 0s - loss: 0.4805 - acc: 0.7578
254/254 [==============================] - 1s 4ms/step - loss: 0.4806 - acc: 0.7571
254/254 [==============================] - 1s 5ms/step - loss: 0.4806 - acc: 0.7571 - val_loss: 0.4794 - val_acc: 0.7691
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.5182 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5171 - acc: 0.7368
38/254 [===>..........................] - ETA: 0s - loss: 0.4905 - acc: 0.7526
57/254 [=====>........................] - ETA: 0s - loss: 0.4926 - acc: 0.7482
75/254 [=======>......................] - ETA: 0s - loss: 0.4867 - acc: 0.7447
90/254 [=========>....................] - ETA: 0s - loss: 0.4922 - acc: 0.7428
99/254 [==========>...................] - ETA: 0s - loss: 0.4845 - acc: 0.7444
115/254 [============>.................] - ETA: 0s - loss: 0.4821 - acc: 0.7448
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143/254 [===============>..............] - ETA: 0s - loss: 0.4774 - acc: 0.7514
161/254 [==================>...........] - ETA: 0s - loss: 0.4684 - acc: 0.7571
178/254 [====================>.........] - ETA: 0s - loss: 0.4607 - acc: 0.7624
196/254 [======================>.......] - ETA: 0s - loss: 0.4642 - acc: 0.7620
215/254 [========================>.....] - ETA: 0s - loss: 0.4693 - acc: 0.7567
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250/254 [============================>.] - ETA: 0s - loss: 0.4715 - acc: 0.7516
254/254 [==============================] - 1s 3ms/step - loss: 0.4722 - acc: 0.7522
254/254 [==============================] - 1s 4ms/step - loss: 0.4722 - acc: 0.7522 - val_loss: 0.4767 - val_acc: 0.7638
Epoch 13/50
1/254 [..............................] - ETA: 1s - loss: 0.5305 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.4747 - acc: 0.7500
38/254 [===>..........................] - ETA: 0s - loss: 0.4875 - acc: 0.7526
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73/254 [=======>......................] - ETA: 0s - loss: 0.4642 - acc: 0.7616
77/254 [========>.....................] - ETA: 0s - loss: 0.4639 - acc: 0.7610
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111/254 [============>.................] - ETA: 0s - loss: 0.4704 - acc: 0.7613
121/254 [=============>................] - ETA: 0s - loss: 0.4691 - acc: 0.7595
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193/254 [=====================>........] - ETA: 0s - loss: 0.4836 - acc: 0.7487
210/254 [=======================>......] - ETA: 0s - loss: 0.4842 - acc: 0.7481
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225/254 [=========================>....] - ETA: 0s - loss: 0.4790 - acc: 0.7502
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254/254 [==============================] - 1s 4ms/step - loss: 0.4783 - acc: 0.7542
254/254 [==============================] - 1s 5ms/step - loss: 0.4783 - acc: 0.7542 - val_loss: 0.5033 - val_acc: 0.7513
Epoch 14/50
1/254 [..............................] - ETA: 2s - loss: 0.5014 - acc: 0.7500
14/254 [>.............................] - ETA: 1s - loss: 0.4979 - acc: 0.7464
32/254 [==>...........................] - ETA: 0s - loss: 0.5166 - acc: 0.7203
50/254 [====>.........................] - ETA: 0s - loss: 0.4981 - acc: 0.7360
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85/254 [=========>....................] - ETA: 0s - loss: 0.4989 - acc: 0.7359
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139/254 [===============>..............] - ETA: 0s - loss: 0.4768 - acc: 0.7511
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174/254 [===================>..........] - ETA: 0s - loss: 0.4814 - acc: 0.7494
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245/254 [===========================>..] - ETA: 0s - loss: 0.4817 - acc: 0.7471
254/254 [==============================] - 1s 3ms/step - loss: 0.4809 - acc: 0.7475
254/254 [==============================] - 1s 4ms/step - loss: 0.4809 - acc: 0.7475 - val_loss: 0.4866 - val_acc: 0.7549
Epoch 15/50
1/254 [..............................] - ETA: 1s - loss: 0.5479 - acc: 0.9000
11/254 [>.............................] - ETA: 1s - loss: 0.4947 - acc: 0.7318
29/254 [==>...........................] - ETA: 0s - loss: 0.4671 - acc: 0.7517
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103/254 [===========>..................] - ETA: 0s - loss: 0.4757 - acc: 0.7583
121/254 [=============>................] - ETA: 0s - loss: 0.4818 - acc: 0.7500
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254/254 [==============================] - 1s 3ms/step - loss: 0.4727 - acc: 0.7526
254/254 [==============================] - 1s 4ms/step - loss: 0.4727 - acc: 0.7526 - val_loss: 0.4841 - val_acc: 0.7726
Epoch 16/50
1/254 [..............................] - ETA: 0s - loss: 0.3884 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4747 - acc: 0.7605
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254/254 [==============================] - 1s 4ms/step - loss: 0.4784 - acc: 0.7536
254/254 [==============================] - 1s 5ms/step - loss: 0.4784 - acc: 0.7536 - val_loss: 0.4911 - val_acc: 0.7673
Epoch 17/50
1/254 [..............................] - ETA: 1s - loss: 0.3963 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4647 - acc: 0.7472
37/254 [===>..........................] - ETA: 0s - loss: 0.4461 - acc: 0.7716
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110/254 [===========>..................] - ETA: 0s - loss: 0.4615 - acc: 0.7591
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147/254 [================>.............] - ETA: 0s - loss: 0.4603 - acc: 0.7602
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254/254 [==============================] - 1s 3ms/step - loss: 0.4742 - acc: 0.7504
254/254 [==============================] - 1s 4ms/step - loss: 0.4742 - acc: 0.7504 - val_loss: 0.4809 - val_acc: 0.7744
Epoch 18/50
1/254 [..............................] - ETA: 1s - loss: 0.4865 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.4628 - acc: 0.7235
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108/254 [===========>..................] - ETA: 0s - loss: 0.4604 - acc: 0.7556
127/254 [==============>...............] - ETA: 0s - loss: 0.4660 - acc: 0.7520
144/254 [================>.............] - ETA: 0s - loss: 0.4679 - acc: 0.7507
161/254 [==================>...........] - ETA: 0s - loss: 0.4718 - acc: 0.7522
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215/254 [========================>.....] - ETA: 0s - loss: 0.4771 - acc: 0.7463
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254/254 [==============================] - 1s 3ms/step - loss: 0.4755 - acc: 0.7499
254/254 [==============================] - 1s 4ms/step - loss: 0.4755 - acc: 0.7499 - val_loss: 0.4913 - val_acc: 0.7638
Epoch 19/50
1/254 [..............................] - ETA: 1s - loss: 0.3447 - acc: 0.9000
19/254 [=>............................] - ETA: 0s - loss: 0.5250 - acc: 0.7289
37/254 [===>..........................] - ETA: 0s - loss: 0.5083 - acc: 0.7284
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69/254 [=======>......................] - ETA: 0s - loss: 0.4841 - acc: 0.7370
86/254 [=========>....................] - ETA: 0s - loss: 0.4783 - acc: 0.7535
104/254 [===========>..................] - ETA: 0s - loss: 0.4699 - acc: 0.7601
121/254 [=============>................] - ETA: 0s - loss: 0.4675 - acc: 0.7591
138/254 [===============>..............] - ETA: 0s - loss: 0.4719 - acc: 0.7554
158/254 [=================>............] - ETA: 0s - loss: 0.4687 - acc: 0.7563
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207/254 [=======================>......] - ETA: 0s - loss: 0.4646 - acc: 0.7609
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250/254 [============================>.] - ETA: 0s - loss: 0.4665 - acc: 0.7606
254/254 [==============================] - 1s 4ms/step - loss: 0.4673 - acc: 0.7609
254/254 [==============================] - 1s 5ms/step - loss: 0.4673 - acc: 0.7609 - val_loss: 0.4800 - val_acc: 0.7620
Epoch 20/50
1/254 [..............................] - ETA: 1s - loss: 0.5955 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4640 - acc: 0.7444
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73/254 [=======>......................] - ETA: 0s - loss: 0.4653 - acc: 0.7541
90/254 [=========>....................] - ETA: 0s - loss: 0.4801 - acc: 0.7517
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180/254 [====================>.........] - ETA: 0s - loss: 0.4720 - acc: 0.7594
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254/254 [==============================] - 1s 5ms/step - loss: 0.4759 - acc: 0.7569
254/254 [==============================] - 2s 6ms/step - loss: 0.4759 - acc: 0.7569 - val_loss: 0.5017 - val_acc: 0.7567
Epoch 21/50
1/254 [..............................] - ETA: 1s - loss: 0.1536 - acc: 0.8500
15/254 [>.............................] - ETA: 0s - loss: 0.3851 - acc: 0.8000
34/254 [===>..........................] - ETA: 0s - loss: 0.4351 - acc: 0.7632
49/254 [====>.........................] - ETA: 0s - loss: 0.4354 - acc: 0.7765
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85/254 [=========>....................] - ETA: 0s - loss: 0.4532 - acc: 0.7671
103/254 [===========>..................] - ETA: 0s - loss: 0.4543 - acc: 0.7684
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134/254 [==============>...............] - ETA: 0s - loss: 0.4576 - acc: 0.7690
152/254 [================>.............] - ETA: 0s - loss: 0.4615 - acc: 0.7648
169/254 [==================>...........] - ETA: 0s - loss: 0.4681 - acc: 0.7618
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225/254 [=========================>....] - ETA: 0s - loss: 0.4701 - acc: 0.7598
243/254 [===========================>..] - ETA: 0s - loss: 0.4737 - acc: 0.7564
254/254 [==============================] - 1s 3ms/step - loss: 0.4739 - acc: 0.7558
254/254 [==============================] - 1s 5ms/step - loss: 0.4739 - acc: 0.7558 - val_loss: 0.4854 - val_acc: 0.7638
Epoch 22/50
1/254 [..............................] - ETA: 1s - loss: 0.5449 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.5054 - acc: 0.7324
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140/254 [===============>..............] - ETA: 0s - loss: 0.4629 - acc: 0.7636
158/254 [=================>............] - ETA: 0s - loss: 0.4589 - acc: 0.7655
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191/254 [=====================>........] - ETA: 0s - loss: 0.4611 - acc: 0.7654
209/254 [=======================>......] - ETA: 0s - loss: 0.4655 - acc: 0.7624
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245/254 [===========================>..] - ETA: 0s - loss: 0.4685 - acc: 0.7578
254/254 [==============================] - 1s 3ms/step - loss: 0.4701 - acc: 0.7562
254/254 [==============================] - 1s 4ms/step - loss: 0.4701 - acc: 0.7562 - val_loss: 0.5070 - val_acc: 0.7531
Run completed: runs/2024-05-06T19-41-07Z
Training run 24/52 (flags = list(64, 16, 0.01, 20, 50, "sigmoid", "sigmoid", 0.5, 0.2))
Using run directory runs/2024-05-06T19-41-34Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:04 - loss: 0.8377 - acc: 0.3000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
17/254 [=>............................] - ETA: 0s - loss: 0.7461 - acc: 0.3529
36/254 [===>..........................] - ETA: 0s - loss: 0.7166 - acc: 0.4250
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209/254 [=======================>......] - ETA: 0s - loss: 0.6470 - acc: 0.5967
227/254 [=========================>....] - ETA: 0s - loss: 0.6446 - acc: 0.6018
245/254 [===========================>..] - ETA: 0s - loss: 0.6408 - acc: 0.6059
254/254 [==============================] - 2s 3ms/step - loss: 0.6391 - acc: 0.6085
254/254 [==============================] - 3s 7ms/step - loss: 0.6391 - acc: 0.6085 - val_loss: 0.5300 - val_acc: 0.7726
Epoch 2/50
1/254 [..............................] - ETA: 0s - loss: 0.5277 - acc: 0.6500
14/254 [>.............................] - ETA: 0s - loss: 0.5844 - acc: 0.7000
31/254 [==>...........................] - ETA: 0s - loss: 0.5883 - acc: 0.6935
48/254 [====>.........................] - ETA: 0s - loss: 0.5829 - acc: 0.6802
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96/254 [==========>...................] - ETA: 0s - loss: 0.5672 - acc: 0.6969
114/254 [============>.................] - ETA: 0s - loss: 0.5613 - acc: 0.7000
125/254 [=============>................] - ETA: 0s - loss: 0.5618 - acc: 0.7028
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254/254 [==============================] - 1s 3ms/step - loss: 0.5403 - acc: 0.7256
254/254 [==============================] - 1s 4ms/step - loss: 0.5403 - acc: 0.7256 - val_loss: 0.5017 - val_acc: 0.7655
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.5116 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5426 - acc: 0.7658
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252/254 [============================>.] - ETA: 0s - loss: 0.5269 - acc: 0.7339
254/254 [==============================] - 1s 3ms/step - loss: 0.5275 - acc: 0.7339
254/254 [==============================] - 1s 4ms/step - loss: 0.5275 - acc: 0.7339 - val_loss: 0.4787 - val_acc: 0.7726
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.6021 - acc: 0.7500
18/254 [=>............................] - ETA: 1s - loss: 0.5581 - acc: 0.7167
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52/254 [=====>........................] - ETA: 0s - loss: 0.5383 - acc: 0.7317
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254/254 [==============================] - 1s 3ms/step - loss: 0.5129 - acc: 0.7430
254/254 [==============================] - 1s 5ms/step - loss: 0.5129 - acc: 0.7430 - val_loss: 0.4859 - val_acc: 0.7655
Epoch 5/50
1/254 [..............................] - ETA: 0s - loss: 0.5790 - acc: 0.6000
17/254 [=>............................] - ETA: 0s - loss: 0.5720 - acc: 0.7235
30/254 [==>...........................] - ETA: 0s - loss: 0.5196 - acc: 0.7367
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112/254 [============>.................] - ETA: 0s - loss: 0.5141 - acc: 0.7464
131/254 [==============>...............] - ETA: 0s - loss: 0.5090 - acc: 0.7500
149/254 [================>.............] - ETA: 0s - loss: 0.5122 - acc: 0.7493
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254/254 [==============================] - 1s 3ms/step - loss: 0.5106 - acc: 0.7538
254/254 [==============================] - 1s 4ms/step - loss: 0.5106 - acc: 0.7538 - val_loss: 0.4944 - val_acc: 0.7638
Epoch 6/50
1/254 [..............................] - ETA: 0s - loss: 0.6493 - acc: 0.7000
7/254 [..............................] - ETA: 2s - loss: 0.5029 - acc: 0.7429
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251/254 [============================>.] - ETA: 0s - loss: 0.5086 - acc: 0.7494
254/254 [==============================] - 1s 3ms/step - loss: 0.5087 - acc: 0.7495
254/254 [==============================] - 1s 5ms/step - loss: 0.5087 - acc: 0.7495 - val_loss: 0.4877 - val_acc: 0.7638
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.4321 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.5078 - acc: 0.7235
36/254 [===>..........................] - ETA: 0s - loss: 0.4819 - acc: 0.7528
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254/254 [==============================] - 1s 3ms/step - loss: 0.5038 - acc: 0.7465
254/254 [==============================] - 1s 4ms/step - loss: 0.5038 - acc: 0.7465 - val_loss: 0.4992 - val_acc: 0.7567
Epoch 8/50
1/254 [..............................] - ETA: 1s - loss: 0.6577 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.5003 - acc: 0.7471
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108/254 [===========>..................] - ETA: 0s - loss: 0.4940 - acc: 0.7500
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143/254 [===============>..............] - ETA: 0s - loss: 0.5000 - acc: 0.7476
161/254 [==================>...........] - ETA: 0s - loss: 0.4944 - acc: 0.7503
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252/254 [============================>.] - ETA: 0s - loss: 0.4981 - acc: 0.7490
254/254 [==============================] - 1s 3ms/step - loss: 0.4975 - acc: 0.7497
254/254 [==============================] - 1s 4ms/step - loss: 0.4975 - acc: 0.7497 - val_loss: 0.4944 - val_acc: 0.7584
Epoch 9/50
1/254 [..............................] - ETA: 0s - loss: 0.2791 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4755 - acc: 0.7667
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254/254 [==============================] - 1s 3ms/step - loss: 0.4986 - acc: 0.7483
254/254 [==============================] - 1s 4ms/step - loss: 0.4986 - acc: 0.7483 - val_loss: 0.4841 - val_acc: 0.7638
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.5536 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.4820 - acc: 0.7395
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252/254 [============================>.] - ETA: 0s - loss: 0.4926 - acc: 0.7504
254/254 [==============================] - 1s 3ms/step - loss: 0.4943 - acc: 0.7504
254/254 [==============================] - 1s 4ms/step - loss: 0.4943 - acc: 0.7504 - val_loss: 0.4760 - val_acc: 0.7620
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.4744 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4414 - acc: 0.8028
37/254 [===>..........................] - ETA: 0s - loss: 0.4618 - acc: 0.7878
54/254 [=====>........................] - ETA: 0s - loss: 0.4501 - acc: 0.7833
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89/254 [=========>....................] - ETA: 0s - loss: 0.4596 - acc: 0.7809
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125/254 [=============>................] - ETA: 0s - loss: 0.4716 - acc: 0.7732
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161/254 [==================>...........] - ETA: 0s - loss: 0.4893 - acc: 0.7606
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254/254 [==============================] - 1s 3ms/step - loss: 0.4956 - acc: 0.7512
254/254 [==============================] - 1s 4ms/step - loss: 0.4956 - acc: 0.7512 - val_loss: 0.4834 - val_acc: 0.7620
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.4051 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4591 - acc: 0.7639
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106/254 [===========>..................] - ETA: 0s - loss: 0.4898 - acc: 0.7509
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191/254 [=====================>........] - ETA: 0s - loss: 0.4998 - acc: 0.7510
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249/254 [============================>.] - ETA: 0s - loss: 0.4982 - acc: 0.7514
254/254 [==============================] - 1s 3ms/step - loss: 0.4995 - acc: 0.7510
254/254 [==============================] - 1s 4ms/step - loss: 0.4995 - acc: 0.7510 - val_loss: 0.4951 - val_acc: 0.7531
Epoch 13/50
1/254 [..............................] - ETA: 1s - loss: 0.3495 - acc: 0.8000
16/254 [>.............................] - ETA: 0s - loss: 0.4307 - acc: 0.8031
34/254 [===>..........................] - ETA: 0s - loss: 0.4826 - acc: 0.7559
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86/254 [=========>....................] - ETA: 0s - loss: 0.5029 - acc: 0.7448
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238/254 [===========================>..] - ETA: 0s - loss: 0.4928 - acc: 0.7481
254/254 [==============================] - 1s 3ms/step - loss: 0.4942 - acc: 0.7491
254/254 [==============================] - 1s 4ms/step - loss: 0.4942 - acc: 0.7491 - val_loss: 0.4936 - val_acc: 0.7567
Epoch 14/50
1/254 [..............................] - ETA: 0s - loss: 0.3737 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4444 - acc: 0.7917
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106/254 [===========>..................] - ETA: 0s - loss: 0.4986 - acc: 0.7453
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240/254 [===========================>..] - ETA: 0s - loss: 0.4920 - acc: 0.7473
254/254 [==============================] - 1s 3ms/step - loss: 0.4912 - acc: 0.7485
254/254 [==============================] - 1s 5ms/step - loss: 0.4912 - acc: 0.7485 - val_loss: 0.4821 - val_acc: 0.7620
Epoch 15/50
1/254 [..............................] - ETA: 0s - loss: 0.2798 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4951 - acc: 0.7667
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254/254 [==============================] - 1s 3ms/step - loss: 0.4883 - acc: 0.7514
254/254 [==============================] - 1s 4ms/step - loss: 0.4883 - acc: 0.7514 - val_loss: 0.4846 - val_acc: 0.7584
Epoch 16/50
1/254 [..............................] - ETA: 1s - loss: 0.4819 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4898 - acc: 0.7472
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253/254 [============================>.] - ETA: 0s - loss: 0.4912 - acc: 0.7514
254/254 [==============================] - 1s 3ms/step - loss: 0.4920 - acc: 0.7510
254/254 [==============================] - 1s 4ms/step - loss: 0.4920 - acc: 0.7510 - val_loss: 0.4869 - val_acc: 0.7620
Epoch 17/50
1/254 [..............................] - ETA: 0s - loss: 0.3176 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.5250 - acc: 0.7000
32/254 [==>...........................] - ETA: 0s - loss: 0.4955 - acc: 0.7312
48/254 [====>.........................] - ETA: 0s - loss: 0.4894 - acc: 0.7375
64/254 [======>.......................] - ETA: 0s - loss: 0.4990 - acc: 0.7445
78/254 [========>.....................] - ETA: 0s - loss: 0.5135 - acc: 0.7436
95/254 [==========>...................] - ETA: 0s - loss: 0.5049 - acc: 0.7479
114/254 [============>.................] - ETA: 0s - loss: 0.4968 - acc: 0.7509
133/254 [==============>...............] - ETA: 0s - loss: 0.4921 - acc: 0.7504
152/254 [================>.............] - ETA: 0s - loss: 0.4864 - acc: 0.7513
169/254 [==================>...........] - ETA: 0s - loss: 0.4878 - acc: 0.7491
176/254 [===================>..........] - ETA: 0s - loss: 0.4888 - acc: 0.7497
189/254 [=====================>........] - ETA: 0s - loss: 0.4927 - acc: 0.7500
200/254 [======================>.......] - ETA: 0s - loss: 0.4933 - acc: 0.7492
215/254 [========================>.....] - ETA: 0s - loss: 0.4938 - acc: 0.7491
234/254 [==========================>...] - ETA: 0s - loss: 0.4951 - acc: 0.7494
252/254 [============================>.] - ETA: 0s - loss: 0.4953 - acc: 0.7496
254/254 [==============================] - 1s 3ms/step - loss: 0.4952 - acc: 0.7500
254/254 [==============================] - 1s 4ms/step - loss: 0.4952 - acc: 0.7500 - val_loss: 0.5001 - val_acc: 0.7496
Epoch 18/50
1/254 [..............................] - ETA: 1s - loss: 0.3026 - acc: 0.8500
8/254 [..............................] - ETA: 2s - loss: 0.5022 - acc: 0.7688
26/254 [==>...........................] - ETA: 1s - loss: 0.4649 - acc: 0.7558
42/254 [===>..........................] - ETA: 0s - loss: 0.4947 - acc: 0.7512
59/254 [=====>........................] - ETA: 0s - loss: 0.4972 - acc: 0.7534
77/254 [========>.....................] - ETA: 0s - loss: 0.4794 - acc: 0.7584
95/254 [==========>...................] - ETA: 0s - loss: 0.4861 - acc: 0.7568
113/254 [============>.................] - ETA: 0s - loss: 0.4757 - acc: 0.7619
131/254 [==============>...............] - ETA: 0s - loss: 0.4858 - acc: 0.7534
148/254 [================>.............] - ETA: 0s - loss: 0.4876 - acc: 0.7534
166/254 [==================>...........] - ETA: 0s - loss: 0.4868 - acc: 0.7560
185/254 [====================>.........] - ETA: 0s - loss: 0.4866 - acc: 0.7546
199/254 [======================>.......] - ETA: 0s - loss: 0.4879 - acc: 0.7520
217/254 [========================>.....] - ETA: 0s - loss: 0.4864 - acc: 0.7539
236/254 [==========================>...] - ETA: 0s - loss: 0.4905 - acc: 0.7530
254/254 [==============================] - 1s 3ms/step - loss: 0.4882 - acc: 0.7532
254/254 [==============================] - 1s 4ms/step - loss: 0.4882 - acc: 0.7532 - val_loss: 0.4833 - val_acc: 0.7620
Epoch 19/50
1/254 [..............................] - ETA: 0s - loss: 0.5162 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.4536 - acc: 0.7605
38/254 [===>..........................] - ETA: 0s - loss: 0.4558 - acc: 0.7789
57/254 [=====>........................] - ETA: 0s - loss: 0.4628 - acc: 0.7658
74/254 [=======>......................] - ETA: 0s - loss: 0.4783 - acc: 0.7628
86/254 [=========>....................] - ETA: 0s - loss: 0.4744 - acc: 0.7686
103/254 [===========>..................] - ETA: 0s - loss: 0.4801 - acc: 0.7660
116/254 [============>.................] - ETA: 0s - loss: 0.4794 - acc: 0.7634
128/254 [==============>...............] - ETA: 0s - loss: 0.4832 - acc: 0.7629
145/254 [================>.............] - ETA: 0s - loss: 0.4815 - acc: 0.7648
165/254 [==================>...........] - ETA: 0s - loss: 0.4789 - acc: 0.7645
183/254 [====================>.........] - ETA: 0s - loss: 0.4814 - acc: 0.7628
197/254 [======================>.......] - ETA: 0s - loss: 0.4813 - acc: 0.7599
214/254 [========================>.....] - ETA: 0s - loss: 0.4824 - acc: 0.7619
229/254 [==========================>...] - ETA: 0s - loss: 0.4834 - acc: 0.7609
247/254 [============================>.] - ETA: 0s - loss: 0.4879 - acc: 0.7597
254/254 [==============================] - 1s 3ms/step - loss: 0.4900 - acc: 0.7579
254/254 [==============================] - 1s 4ms/step - loss: 0.4900 - acc: 0.7579 - val_loss: 0.4930 - val_acc: 0.7584
Epoch 20/50
1/254 [..............................] - ETA: 0s - loss: 0.3454 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4720 - acc: 0.7639
37/254 [===>..........................] - ETA: 0s - loss: 0.4828 - acc: 0.7554
56/254 [=====>........................] - ETA: 0s - loss: 0.4972 - acc: 0.7446
73/254 [=======>......................] - ETA: 0s - loss: 0.4995 - acc: 0.7452
86/254 [=========>....................] - ETA: 0s - loss: 0.4965 - acc: 0.7547
105/254 [===========>..................] - ETA: 0s - loss: 0.4900 - acc: 0.7567
113/254 [============>.................] - ETA: 0s - loss: 0.4881 - acc: 0.7584
132/254 [==============>...............] - ETA: 0s - loss: 0.4913 - acc: 0.7572
151/254 [================>.............] - ETA: 0s - loss: 0.4948 - acc: 0.7546
170/254 [===================>..........] - ETA: 0s - loss: 0.4946 - acc: 0.7529
185/254 [====================>.........] - ETA: 0s - loss: 0.4982 - acc: 0.7524
204/254 [=======================>......] - ETA: 0s - loss: 0.5036 - acc: 0.7490
223/254 [=========================>....] - ETA: 0s - loss: 0.5049 - acc: 0.7478
241/254 [===========================>..] - ETA: 0s - loss: 0.4993 - acc: 0.7517
254/254 [==============================] - 1s 3ms/step - loss: 0.4952 - acc: 0.7522
254/254 [==============================] - 1s 5ms/step - loss: 0.4952 - acc: 0.7522 - val_loss: 0.4795 - val_acc: 0.7620
Run completed: runs/2024-05-06T19-41-34Z
Training run 25/52 (flags = list(16, 64, 0.001, 50, 50, "tanh", "sigmoid", 0.5, 0.5))
Using run directory runs/2024-05-06T19-41-58Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/102 [..............................] - ETA: 2:06 - loss: 0.7738 - acc: 0.6200
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0345s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0345s). Check your callbacks.
18/102 [====>.........................] - ETA: 0s - loss: 0.7394 - acc: 0.6111
34/102 [=========>....................] - ETA: 0s - loss: 0.7268 - acc: 0.5865
48/102 [=============>................] - ETA: 0s - loss: 0.7176 - acc: 0.5729
66/102 [==================>...........] - ETA: 0s - loss: 0.7095 - acc: 0.5794
82/102 [=======================>......] - ETA: 0s - loss: 0.6965 - acc: 0.5888
98/102 [===========================>..] - ETA: 0s - loss: 0.6851 - acc: 0.6012
102/102 [==============================] - 2s 3ms/step - loss: 0.6823 - acc: 0.6030
102/102 [==============================] - 2s 11ms/step - loss: 0.6823 - acc: 0.6030 - val_loss: 0.5463 - val_acc: 0.7336
Epoch 2/50
1/102 [..............................] - ETA: 0s - loss: 0.7102 - acc: 0.6400
18/102 [====>.........................] - ETA: 0s - loss: 0.6182 - acc: 0.6600
33/102 [========>.....................] - ETA: 0s - loss: 0.5966 - acc: 0.6794
48/102 [=============>................] - ETA: 0s - loss: 0.5902 - acc: 0.6854
65/102 [==================>...........] - ETA: 0s - loss: 0.5902 - acc: 0.6911
80/102 [======================>.......] - ETA: 0s - loss: 0.5840 - acc: 0.6930
96/102 [===========================>..] - ETA: 0s - loss: 0.5795 - acc: 0.6946
102/102 [==============================] - 0s 4ms/step - loss: 0.5766 - acc: 0.6972
102/102 [==============================] - 1s 6ms/step - loss: 0.5766 - acc: 0.6972 - val_loss: 0.4846 - val_acc: 0.7638
Epoch 3/50
1/102 [..............................] - ETA: 0s - loss: 0.6382 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5266 - acc: 0.7567
34/102 [=========>....................] - ETA: 0s - loss: 0.5371 - acc: 0.7394
51/102 [==============>...............] - ETA: 0s - loss: 0.5304 - acc: 0.7400
67/102 [==================>...........] - ETA: 0s - loss: 0.5352 - acc: 0.7388
85/102 [========================>.....] - ETA: 0s - loss: 0.5377 - acc: 0.7374
102/102 [==============================] - 0s 3ms/step - loss: 0.5425 - acc: 0.7359
102/102 [==============================] - 1s 7ms/step - loss: 0.5425 - acc: 0.7359 - val_loss: 0.4965 - val_acc: 0.7549
Epoch 4/50
1/102 [..............................] - ETA: 0s - loss: 0.6872 - acc: 0.6600
19/102 [====>.........................] - ETA: 0s - loss: 0.5572 - acc: 0.7074
32/102 [========>.....................] - ETA: 0s - loss: 0.5644 - acc: 0.7144
47/102 [============>.................] - ETA: 0s - loss: 0.5521 - acc: 0.7200
60/102 [================>.............] - ETA: 0s - loss: 0.5607 - acc: 0.7183
73/102 [====================>.........] - ETA: 0s - loss: 0.5498 - acc: 0.7274
89/102 [=========================>....] - ETA: 0s - loss: 0.5471 - acc: 0.7303
102/102 [==============================] - 0s 4ms/step - loss: 0.5403 - acc: 0.7361
102/102 [==============================] - 1s 6ms/step - loss: 0.5403 - acc: 0.7361 - val_loss: 0.4840 - val_acc: 0.7567
Epoch 5/50
1/102 [..............................] - ETA: 0s - loss: 0.5059 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.5282 - acc: 0.7511
34/102 [=========>....................] - ETA: 0s - loss: 0.5241 - acc: 0.7512
52/102 [==============>...............] - ETA: 0s - loss: 0.5182 - acc: 0.7523
69/102 [===================>..........] - ETA: 0s - loss: 0.5202 - acc: 0.7496
86/102 [========================>.....] - ETA: 0s - loss: 0.5254 - acc: 0.7444
102/102 [==============================] - 0s 3ms/step - loss: 0.5237 - acc: 0.7447
102/102 [==============================] - 1s 5ms/step - loss: 0.5237 - acc: 0.7447 - val_loss: 0.4814 - val_acc: 0.7584
Epoch 6/50
1/102 [..............................] - ETA: 0s - loss: 0.6424 - acc: 0.6600
18/102 [====>.........................] - ETA: 0s - loss: 0.5480 - acc: 0.7289
36/102 [=========>....................] - ETA: 0s - loss: 0.5418 - acc: 0.7383
53/102 [==============>...............] - ETA: 0s - loss: 0.5298 - acc: 0.7464
71/102 [===================>..........] - ETA: 0s - loss: 0.5270 - acc: 0.7445
87/102 [========================>.....] - ETA: 0s - loss: 0.5220 - acc: 0.7453
102/102 [==============================] - 0s 3ms/step - loss: 0.5253 - acc: 0.7459
102/102 [==============================] - 1s 6ms/step - loss: 0.5253 - acc: 0.7459 - val_loss: 0.4863 - val_acc: 0.7567
Epoch 7/50
1/102 [..............................] - ETA: 0s - loss: 0.7094 - acc: 0.6200
18/102 [====>.........................] - ETA: 0s - loss: 0.4893 - acc: 0.7433
37/102 [=========>....................] - ETA: 0s - loss: 0.4990 - acc: 0.7519
55/102 [===============>..............] - ETA: 0s - loss: 0.5155 - acc: 0.7491
70/102 [===================>..........] - ETA: 0s - loss: 0.5167 - acc: 0.7466
79/102 [======================>.......] - ETA: 0s - loss: 0.5195 - acc: 0.7453
94/102 [==========================>...] - ETA: 0s - loss: 0.5194 - acc: 0.7440
102/102 [==============================] - 0s 3ms/step - loss: 0.5233 - acc: 0.7424
102/102 [==============================] - 1s 6ms/step - loss: 0.5233 - acc: 0.7424 - val_loss: 0.4917 - val_acc: 0.7584
Epoch 8/50
1/102 [..............................] - ETA: 0s - loss: 0.3890 - acc: 0.8600
18/102 [====>.........................] - ETA: 0s - loss: 0.5507 - acc: 0.7356
36/102 [=========>....................] - ETA: 0s - loss: 0.5157 - acc: 0.7456
54/102 [==============>...............] - ETA: 0s - loss: 0.5206 - acc: 0.7496
71/102 [===================>..........] - ETA: 0s - loss: 0.5078 - acc: 0.7572
88/102 [========================>.....] - ETA: 0s - loss: 0.5169 - acc: 0.7527
102/102 [==============================] - 0s 3ms/step - loss: 0.5120 - acc: 0.7540
102/102 [==============================] - 1s 6ms/step - loss: 0.5120 - acc: 0.7540 - val_loss: 0.4850 - val_acc: 0.7584
Epoch 9/50
1/102 [..............................] - ETA: 0s - loss: 0.5232 - acc: 0.6600
17/102 [====>.........................] - ETA: 0s - loss: 0.4876 - acc: 0.7588
34/102 [=========>....................] - ETA: 0s - loss: 0.4979 - acc: 0.7535
50/102 [=============>................] - ETA: 0s - loss: 0.5046 - acc: 0.7472
66/102 [==================>...........] - ETA: 0s - loss: 0.5114 - acc: 0.7412
82/102 [=======================>......] - ETA: 0s - loss: 0.5096 - acc: 0.7437
93/102 [==========================>...] - ETA: 0s - loss: 0.5079 - acc: 0.7441
99/102 [============================>.] - ETA: 0s - loss: 0.5090 - acc: 0.7442
102/102 [==============================] - 0s 4ms/step - loss: 0.5098 - acc: 0.7457
102/102 [==============================] - 1s 8ms/step - loss: 0.5098 - acc: 0.7457 - val_loss: 0.4781 - val_acc: 0.7602
Epoch 10/50
1/102 [..............................] - ETA: 0s - loss: 0.4458 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5475 - acc: 0.7456
36/102 [=========>....................] - ETA: 0s - loss: 0.5304 - acc: 0.7444
54/102 [==============>...............] - ETA: 0s - loss: 0.5240 - acc: 0.7415
69/102 [===================>..........] - ETA: 0s - loss: 0.5134 - acc: 0.7423
85/102 [========================>.....] - ETA: 0s - loss: 0.5061 - acc: 0.7475
94/102 [==========================>...] - ETA: 0s - loss: 0.5072 - acc: 0.7464
102/102 [==============================] - 0s 4ms/step - loss: 0.5098 - acc: 0.7477
102/102 [==============================] - 1s 6ms/step - loss: 0.5098 - acc: 0.7477 - val_loss: 0.4809 - val_acc: 0.7584
Epoch 11/50
1/102 [..............................] - ETA: 0s - loss: 0.4688 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.5096 - acc: 0.7433
35/102 [=========>....................] - ETA: 0s - loss: 0.4965 - acc: 0.7531
53/102 [==============>...............] - ETA: 0s - loss: 0.5077 - acc: 0.7494
70/102 [===================>..........] - ETA: 0s - loss: 0.5053 - acc: 0.7486
86/102 [========================>.....] - ETA: 0s - loss: 0.5052 - acc: 0.7537
102/102 [==============================] - 0s 3ms/step - loss: 0.5109 - acc: 0.7502
102/102 [==============================] - 1s 5ms/step - loss: 0.5109 - acc: 0.7502 - val_loss: 0.4822 - val_acc: 0.7602
Epoch 12/50
1/102 [..............................] - ETA: 0s - loss: 0.6181 - acc: 0.6600
16/102 [===>..........................] - ETA: 0s - loss: 0.5103 - acc: 0.7563
24/102 [======>.......................] - ETA: 0s - loss: 0.5060 - acc: 0.7475
42/102 [===========>..................] - ETA: 0s - loss: 0.5014 - acc: 0.7510
48/102 [=============>................] - ETA: 0s - loss: 0.5007 - acc: 0.7513
63/102 [=================>............] - ETA: 0s - loss: 0.5018 - acc: 0.7537
80/102 [======================>.......] - ETA: 0s - loss: 0.5083 - acc: 0.7490
97/102 [===========================>..] - ETA: 0s - loss: 0.5051 - acc: 0.7466
102/102 [==============================] - 0s 4ms/step - loss: 0.5048 - acc: 0.7489
102/102 [==============================] - 1s 7ms/step - loss: 0.5048 - acc: 0.7489 - val_loss: 0.4781 - val_acc: 0.7620
Epoch 13/50
1/102 [..............................] - ETA: 0s - loss: 0.4774 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5220 - acc: 0.7489
36/102 [=========>....................] - ETA: 0s - loss: 0.5304 - acc: 0.7456
54/102 [==============>...............] - ETA: 0s - loss: 0.5016 - acc: 0.7585
71/102 [===================>..........] - ETA: 0s - loss: 0.4931 - acc: 0.7600
88/102 [========================>.....] - ETA: 0s - loss: 0.4992 - acc: 0.7555
102/102 [==============================] - 0s 3ms/step - loss: 0.5018 - acc: 0.7569
102/102 [==============================] - 1s 5ms/step - loss: 0.5018 - acc: 0.7569 - val_loss: 0.4880 - val_acc: 0.7567
Epoch 14/50
1/102 [..............................] - ETA: 0s - loss: 0.6563 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.4892 - acc: 0.7529
36/102 [=========>....................] - ETA: 0s - loss: 0.5107 - acc: 0.7428
54/102 [==============>...............] - ETA: 0s - loss: 0.5192 - acc: 0.7419
70/102 [===================>..........] - ETA: 0s - loss: 0.5169 - acc: 0.7451
86/102 [========================>.....] - ETA: 0s - loss: 0.5151 - acc: 0.7453
102/102 [==============================] - 0s 3ms/step - loss: 0.5116 - acc: 0.7422
102/102 [==============================] - 1s 6ms/step - loss: 0.5116 - acc: 0.7422 - val_loss: 0.4854 - val_acc: 0.7567
Epoch 15/50
1/102 [..............................] - ETA: 0s - loss: 0.4528 - acc: 0.6600
17/102 [====>.........................] - ETA: 0s - loss: 0.5555 - acc: 0.7106
35/102 [=========>....................] - ETA: 0s - loss: 0.5099 - acc: 0.7474
53/102 [==============>...............] - ETA: 0s - loss: 0.5002 - acc: 0.7426
59/102 [================>.............] - ETA: 0s - loss: 0.4997 - acc: 0.7478
66/102 [==================>...........] - ETA: 0s - loss: 0.5057 - acc: 0.7488
84/102 [=======================>......] - ETA: 0s - loss: 0.5112 - acc: 0.7445
96/102 [===========================>..] - ETA: 0s - loss: 0.5121 - acc: 0.7442
102/102 [==============================] - 0s 4ms/step - loss: 0.5090 - acc: 0.7447
102/102 [==============================] - 1s 7ms/step - loss: 0.5090 - acc: 0.7447 - val_loss: 0.4805 - val_acc: 0.7549
Epoch 16/50
1/102 [..............................] - ETA: 0s - loss: 0.5227 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.4900 - acc: 0.7644
37/102 [=========>....................] - ETA: 0s - loss: 0.4983 - acc: 0.7622
54/102 [==============>...............] - ETA: 0s - loss: 0.5049 - acc: 0.7526
71/102 [===================>..........] - ETA: 0s - loss: 0.5051 - acc: 0.7496
87/102 [========================>.....] - ETA: 0s - loss: 0.5032 - acc: 0.7510
102/102 [==============================] - 0s 3ms/step - loss: 0.5087 - acc: 0.7514
102/102 [==============================] - 1s 5ms/step - loss: 0.5087 - acc: 0.7514 - val_loss: 0.4844 - val_acc: 0.7549
Epoch 17/50
1/102 [..............................] - ETA: 0s - loss: 0.4127 - acc: 0.8600
10/102 [=>............................] - ETA: 0s - loss: 0.4951 - acc: 0.7480
22/102 [=====>........................] - ETA: 0s - loss: 0.4775 - acc: 0.7582
37/102 [=========>....................] - ETA: 0s - loss: 0.4969 - acc: 0.7541
53/102 [==============>...............] - ETA: 0s - loss: 0.5066 - acc: 0.7445
69/102 [===================>..........] - ETA: 0s - loss: 0.5087 - acc: 0.7406
85/102 [========================>.....] - ETA: 0s - loss: 0.5027 - acc: 0.7435
102/102 [==============================] - 0s 4ms/step - loss: 0.5064 - acc: 0.7437
102/102 [==============================] - 1s 6ms/step - loss: 0.5064 - acc: 0.7437 - val_loss: 0.4917 - val_acc: 0.7513
Epoch 18/50
1/102 [..............................] - ETA: 0s - loss: 0.5210 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.4926 - acc: 0.7622
36/102 [=========>....................] - ETA: 0s - loss: 0.5007 - acc: 0.7550
52/102 [==============>...............] - ETA: 0s - loss: 0.5128 - acc: 0.7523
68/102 [===================>..........] - ETA: 0s - loss: 0.5093 - acc: 0.7518
84/102 [=======================>......] - ETA: 0s - loss: 0.5067 - acc: 0.7550
99/102 [============================>.] - ETA: 0s - loss: 0.5040 - acc: 0.7554
102/102 [==============================] - 0s 3ms/step - loss: 0.5033 - acc: 0.7546
102/102 [==============================] - 1s 6ms/step - loss: 0.5033 - acc: 0.7546 - val_loss: 0.4929 - val_acc: 0.7567
Epoch 19/50
1/102 [..............................] - ETA: 0s - loss: 0.4305 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5139 - acc: 0.7329
35/102 [=========>....................] - ETA: 0s - loss: 0.5312 - acc: 0.7383
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102/102 [==============================] - 0s 3ms/step - loss: 0.5058 - acc: 0.7465
102/102 [==============================] - 1s 5ms/step - loss: 0.5058 - acc: 0.7465 - val_loss: 0.4848 - val_acc: 0.7531
Run completed: runs/2024-05-06T19-41-58Z
Training run 26/52 (flags = list(32, 16, 0.01, 20, 30, "relu", "tanh", 0.5, 0.5))
Using run directory runs/2024-05-06T19-42-13Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 5:05 - loss: 0.6937 - acc: 0.5000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0287s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0287s). Check your callbacks.
20/254 [=>............................] - ETA: 0s - loss: 0.6886 - acc: 0.5825
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240/254 [===========================>..] - ETA: 0s - loss: 0.6009 - acc: 0.6800
254/254 [==============================] - 2s 3ms/step - loss: 0.6011 - acc: 0.6811
254/254 [==============================] - 3s 7ms/step - loss: 0.6011 - acc: 0.6811 - val_loss: 0.5022 - val_acc: 0.7460
Epoch 2/30
1/254 [..............................] - ETA: 1s - loss: 0.6600 - acc: 0.7000
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252/254 [============================>.] - ETA: 0s - loss: 0.5524 - acc: 0.7238
254/254 [==============================] - 1s 3ms/step - loss: 0.5524 - acc: 0.7238
254/254 [==============================] - 1s 4ms/step - loss: 0.5524 - acc: 0.7238 - val_loss: 0.4845 - val_acc: 0.7567
Epoch 3/30
1/254 [..............................] - ETA: 1s - loss: 0.6490 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.5678 - acc: 0.7147
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254/254 [==============================] - 1s 3ms/step - loss: 0.5299 - acc: 0.7380
254/254 [==============================] - 1s 5ms/step - loss: 0.5299 - acc: 0.7380 - val_loss: 0.4780 - val_acc: 0.7691
Epoch 4/30
1/254 [..............................] - ETA: 0s - loss: 0.4356 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.5464 - acc: 0.7447
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254/254 [==============================] - 1s 3ms/step - loss: 0.5282 - acc: 0.7311
254/254 [==============================] - 1s 4ms/step - loss: 0.5282 - acc: 0.7311 - val_loss: 0.4960 - val_acc: 0.7602
Epoch 5/30
1/254 [..............................] - ETA: 0s - loss: 0.4234 - acc: 0.8500
20/254 [=>............................] - ETA: 0s - loss: 0.5185 - acc: 0.7250
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254/254 [==============================] - 1s 3ms/step - loss: 0.5173 - acc: 0.7339
254/254 [==============================] - 1s 4ms/step - loss: 0.5173 - acc: 0.7339 - val_loss: 0.4777 - val_acc: 0.7602
Epoch 6/30
1/254 [..............................] - ETA: 0s - loss: 0.5533 - acc: 0.7500
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254/254 [==============================] - 1s 3ms/step - loss: 0.5147 - acc: 0.7364
254/254 [==============================] - 1s 4ms/step - loss: 0.5147 - acc: 0.7364 - val_loss: 0.4722 - val_acc: 0.7655
Epoch 7/30
1/254 [..............................] - ETA: 0s - loss: 0.4402 - acc: 0.9000
21/254 [=>............................] - ETA: 0s - loss: 0.4886 - acc: 0.7595
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240/254 [===========================>..] - ETA: 0s - loss: 0.5112 - acc: 0.7333
254/254 [==============================] - 1s 3ms/step - loss: 0.5089 - acc: 0.7355
254/254 [==============================] - 1s 4ms/step - loss: 0.5089 - acc: 0.7355 - val_loss: 0.4840 - val_acc: 0.7567
Epoch 8/30
1/254 [..............................] - ETA: 0s - loss: 0.5251 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.4754 - acc: 0.7316
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254/254 [==============================] - 1s 3ms/step - loss: 0.5040 - acc: 0.7339
254/254 [==============================] - 1s 4ms/step - loss: 0.5040 - acc: 0.7339 - val_loss: 0.4982 - val_acc: 0.7478
Epoch 9/30
1/254 [..............................] - ETA: 0s - loss: 0.6141 - acc: 0.7000
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242/254 [===========================>..] - ETA: 0s - loss: 0.5008 - acc: 0.7355
254/254 [==============================] - 1s 3ms/step - loss: 0.5051 - acc: 0.7347
254/254 [==============================] - 1s 4ms/step - loss: 0.5051 - acc: 0.7347 - val_loss: 0.5012 - val_acc: 0.7389
Epoch 10/30
1/254 [..............................] - ETA: 0s - loss: 0.4215 - acc: 0.8000
12/254 [>.............................] - ETA: 1s - loss: 0.5598 - acc: 0.7125
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254/254 [==============================] - 1s 3ms/step - loss: 0.5025 - acc: 0.7323
254/254 [==============================] - 1s 4ms/step - loss: 0.5025 - acc: 0.7323 - val_loss: 0.4807 - val_acc: 0.7549
Epoch 11/30
1/254 [..............................] - ETA: 0s - loss: 0.3358 - acc: 0.9000
14/254 [>.............................] - ETA: 0s - loss: 0.4317 - acc: 0.7857
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254/254 [==============================] - 1s 3ms/step - loss: 0.4957 - acc: 0.7435
254/254 [==============================] - 1s 4ms/step - loss: 0.4957 - acc: 0.7435 - val_loss: 0.4687 - val_acc: 0.7567
Epoch 12/30
1/254 [..............................] - ETA: 0s - loss: 0.6102 - acc: 0.4000
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254/254 [==============================] - 1s 4ms/step - loss: 0.4982 - acc: 0.7297
254/254 [==============================] - 1s 4ms/step - loss: 0.4982 - acc: 0.7297 - val_loss: 0.4751 - val_acc: 0.7584
Epoch 13/30
1/254 [..............................] - ETA: 0s - loss: 0.4697 - acc: 0.7500
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254/254 [==============================] - 1s 3ms/step - loss: 0.4992 - acc: 0.7437
254/254 [==============================] - 1s 4ms/step - loss: 0.4992 - acc: 0.7437 - val_loss: 0.4765 - val_acc: 0.7584
Epoch 14/30
1/254 [..............................] - ETA: 1s - loss: 0.3520 - acc: 0.7500
14/254 [>.............................] - ETA: 0s - loss: 0.5075 - acc: 0.6750
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253/254 [============================>.] - ETA: 0s - loss: 0.4961 - acc: 0.7413
254/254 [==============================] - 1s 3ms/step - loss: 0.4955 - acc: 0.7416
254/254 [==============================] - 1s 5ms/step - loss: 0.4955 - acc: 0.7416 - val_loss: 0.4677 - val_acc: 0.7620
Epoch 15/30
1/254 [..............................] - ETA: 0s - loss: 0.4564 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5493 - acc: 0.7158
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147/254 [================>.............] - ETA: 0s - loss: 0.4925 - acc: 0.7456
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205/254 [=======================>......] - ETA: 0s - loss: 0.4992 - acc: 0.7398
222/254 [=========================>....] - ETA: 0s - loss: 0.4955 - acc: 0.7414
242/254 [===========================>..] - ETA: 0s - loss: 0.4933 - acc: 0.7430
254/254 [==============================] - 1s 3ms/step - loss: 0.4926 - acc: 0.7437
254/254 [==============================] - 1s 4ms/step - loss: 0.4926 - acc: 0.7437 - val_loss: 0.4950 - val_acc: 0.7425
Epoch 16/30
1/254 [..............................] - ETA: 0s - loss: 0.4368 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5264 - acc: 0.7184
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55/254 [=====>........................] - ETA: 0s - loss: 0.5133 - acc: 0.7109
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88/254 [=========>....................] - ETA: 0s - loss: 0.5024 - acc: 0.7131
107/254 [===========>..................] - ETA: 0s - loss: 0.4980 - acc: 0.7173
126/254 [=============>................] - ETA: 0s - loss: 0.4908 - acc: 0.7242
143/254 [===============>..............] - ETA: 0s - loss: 0.4881 - acc: 0.7301
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234/254 [==========================>...] - ETA: 0s - loss: 0.4939 - acc: 0.7301
252/254 [============================>.] - ETA: 0s - loss: 0.4922 - acc: 0.7347
254/254 [==============================] - 1s 3ms/step - loss: 0.4925 - acc: 0.7341
254/254 [==============================] - 1s 4ms/step - loss: 0.4925 - acc: 0.7341 - val_loss: 0.4899 - val_acc: 0.7549
Epoch 17/30
1/254 [..............................] - ETA: 0s - loss: 0.3785 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4612 - acc: 0.7639
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93/254 [=========>....................] - ETA: 0s - loss: 0.4813 - acc: 0.7435
112/254 [============>.................] - ETA: 0s - loss: 0.4757 - acc: 0.7558
120/254 [=============>................] - ETA: 0s - loss: 0.4802 - acc: 0.7521
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151/254 [================>.............] - ETA: 0s - loss: 0.4922 - acc: 0.7464
171/254 [===================>..........] - ETA: 0s - loss: 0.4911 - acc: 0.7462
188/254 [=====================>........] - ETA: 0s - loss: 0.4929 - acc: 0.7439
208/254 [=======================>......] - ETA: 0s - loss: 0.4916 - acc: 0.7435
228/254 [=========================>....] - ETA: 0s - loss: 0.4946 - acc: 0.7384
245/254 [===========================>..] - ETA: 0s - loss: 0.4945 - acc: 0.7380
254/254 [==============================] - 1s 3ms/step - loss: 0.4931 - acc: 0.7380
254/254 [==============================] - 1s 4ms/step - loss: 0.4931 - acc: 0.7380 - val_loss: 0.4641 - val_acc: 0.7620
Epoch 18/30
1/254 [..............................] - ETA: 0s - loss: 0.4445 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4679 - acc: 0.7737
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245/254 [===========================>..] - ETA: 0s - loss: 0.4885 - acc: 0.7433
254/254 [==============================] - 1s 3ms/step - loss: 0.4918 - acc: 0.7431
254/254 [==============================] - 1s 4ms/step - loss: 0.4918 - acc: 0.7431 - val_loss: 0.4812 - val_acc: 0.7460
Epoch 19/30
1/254 [..............................] - ETA: 0s - loss: 0.2739 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4517 - acc: 0.7684
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239/254 [===========================>..] - ETA: 0s - loss: 0.4914 - acc: 0.7414
254/254 [==============================] - 1s 3ms/step - loss: 0.4896 - acc: 0.7428
254/254 [==============================] - 1s 4ms/step - loss: 0.4896 - acc: 0.7428 - val_loss: 0.4851 - val_acc: 0.7549
Epoch 20/30
1/254 [..............................] - ETA: 0s - loss: 0.3159 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5010 - acc: 0.7079
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244/254 [===========================>..] - ETA: 0s - loss: 0.4865 - acc: 0.7420
251/254 [============================>.] - ETA: 0s - loss: 0.4868 - acc: 0.7422
254/254 [==============================] - 1s 3ms/step - loss: 0.4872 - acc: 0.7424
254/254 [==============================] - 1s 5ms/step - loss: 0.4872 - acc: 0.7424 - val_loss: 0.4858 - val_acc: 0.7460
Epoch 21/30
1/254 [..............................] - ETA: 1s - loss: 0.6650 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4617 - acc: 0.7556
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238/254 [===========================>..] - ETA: 0s - loss: 0.4874 - acc: 0.7447
254/254 [==============================] - 1s 3ms/step - loss: 0.4865 - acc: 0.7422
254/254 [==============================] - 1s 4ms/step - loss: 0.4865 - acc: 0.7422 - val_loss: 0.4852 - val_acc: 0.7496
Epoch 22/30
1/254 [..............................] - ETA: 1s - loss: 0.2922 - acc: 0.8000
9/254 [>.............................] - ETA: 1s - loss: 0.4857 - acc: 0.7111
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240/254 [===========================>..] - ETA: 0s - loss: 0.4865 - acc: 0.7387
254/254 [==============================] - 1s 3ms/step - loss: 0.4859 - acc: 0.7384
254/254 [==============================] - 1s 4ms/step - loss: 0.4859 - acc: 0.7384 - val_loss: 0.4767 - val_acc: 0.7567
Epoch 23/30
1/254 [..............................] - ETA: 0s - loss: 0.6756 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4398 - acc: 0.7711
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112/254 [============>.................] - ETA: 0s - loss: 0.4851 - acc: 0.7478
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151/254 [================>.............] - ETA: 0s - loss: 0.4783 - acc: 0.7517
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189/254 [=====================>........] - ETA: 0s - loss: 0.4813 - acc: 0.7442
206/254 [=======================>......] - ETA: 0s - loss: 0.4838 - acc: 0.7381
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236/254 [==========================>...] - ETA: 0s - loss: 0.4854 - acc: 0.7369
250/254 [============================>.] - ETA: 0s - loss: 0.4837 - acc: 0.7380
254/254 [==============================] - 1s 3ms/step - loss: 0.4845 - acc: 0.7386
254/254 [==============================] - 1s 4ms/step - loss: 0.4845 - acc: 0.7386 - val_loss: 0.4792 - val_acc: 0.7567
Epoch 24/30
1/254 [..............................] - ETA: 0s - loss: 0.3931 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4419 - acc: 0.7556
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109/254 [===========>..................] - ETA: 0s - loss: 0.4639 - acc: 0.7583
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148/254 [================>.............] - ETA: 0s - loss: 0.4723 - acc: 0.7551
166/254 [==================>...........] - ETA: 0s - loss: 0.4805 - acc: 0.7479
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234/254 [==========================>...] - ETA: 0s - loss: 0.4808 - acc: 0.7453
247/254 [============================>.] - ETA: 0s - loss: 0.4826 - acc: 0.7441
254/254 [==============================] - 1s 3ms/step - loss: 0.4820 - acc: 0.7443
254/254 [==============================] - 1s 4ms/step - loss: 0.4820 - acc: 0.7443 - val_loss: 0.4930 - val_acc: 0.7460
Epoch 25/30
1/254 [..............................] - ETA: 0s - loss: 0.6952 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.5263 - acc: 0.7158
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184/254 [====================>.........] - ETA: 0s - loss: 0.4930 - acc: 0.7389
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254/254 [==============================] - 1s 3ms/step - loss: 0.4868 - acc: 0.7376
254/254 [==============================] - 1s 4ms/step - loss: 0.4868 - acc: 0.7376 - val_loss: 0.4783 - val_acc: 0.7602
Epoch 26/30
1/254 [..............................] - ETA: 0s - loss: 0.3869 - acc: 0.8000
16/254 [>.............................] - ETA: 1s - loss: 0.4499 - acc: 0.7719
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33/254 [==>...........................] - ETA: 1s - loss: 0.4806 - acc: 0.7485
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109/254 [===========>..................] - ETA: 0s - loss: 0.4784 - acc: 0.7399
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236/254 [==========================>...] - ETA: 0s - loss: 0.4810 - acc: 0.7390
254/254 [==============================] - 1s 3ms/step - loss: 0.4812 - acc: 0.7404
254/254 [==============================] - 1s 5ms/step - loss: 0.4812 - acc: 0.7404 - val_loss: 0.5004 - val_acc: 0.7407
Epoch 27/30
1/254 [..............................] - ETA: 0s - loss: 0.3911 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4577 - acc: 0.7316
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251/254 [============================>.] - ETA: 0s - loss: 0.4920 - acc: 0.7363
254/254 [==============================] - 1s 3ms/step - loss: 0.4926 - acc: 0.7361
254/254 [==============================] - 1s 4ms/step - loss: 0.4926 - acc: 0.7361 - val_loss: 0.4951 - val_acc: 0.7425
Run completed: runs/2024-05-06T19-42-13Z
Training run 27/52 (flags = list(32, 32, 0.001, 20, 50, "sigmoid", "tanh", 0.2, 0.2))
Using run directory runs/2024-05-06T19-42-43Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:02 - loss: 0.7330 - acc: 0.2500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0298s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0298s). Check your callbacks.
19/254 [=>............................] - ETA: 0s - loss: 0.7098 - acc: 0.4895
36/254 [===>..........................] - ETA: 0s - loss: 0.6764 - acc: 0.5389
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102/254 [===========>..................] - ETA: 0s - loss: 0.6640 - acc: 0.6005
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136/254 [===============>..............] - ETA: 0s - loss: 0.6385 - acc: 0.6309
145/254 [================>.............] - ETA: 0s - loss: 0.6354 - acc: 0.6297
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182/254 [====================>.........] - ETA: 0s - loss: 0.6135 - acc: 0.6522
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247/254 [============================>.] - ETA: 0s - loss: 0.5894 - acc: 0.6759
254/254 [==============================] - 2s 4ms/step - loss: 0.5883 - acc: 0.6777
254/254 [==============================] - 3s 7ms/step - loss: 0.5883 - acc: 0.6777 - val_loss: 0.4774 - val_acc: 0.7709
Epoch 2/50
1/254 [..............................] - ETA: 0s - loss: 0.5528 - acc: 0.6500
14/254 [>.............................] - ETA: 0s - loss: 0.4514 - acc: 0.8214
29/254 [==>...........................] - ETA: 0s - loss: 0.4760 - acc: 0.7810
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51/254 [=====>........................] - ETA: 0s - loss: 0.4748 - acc: 0.7804
68/254 [=======>......................] - ETA: 0s - loss: 0.5049 - acc: 0.7699
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95/254 [==========>...................] - ETA: 0s - loss: 0.5125 - acc: 0.7542
112/254 [============>.................] - ETA: 0s - loss: 0.5084 - acc: 0.7558
127/254 [==============>...............] - ETA: 0s - loss: 0.5095 - acc: 0.7567
146/254 [================>.............] - ETA: 0s - loss: 0.5149 - acc: 0.7521
162/254 [==================>...........] - ETA: 0s - loss: 0.5137 - acc: 0.7525
179/254 [====================>.........] - ETA: 0s - loss: 0.5166 - acc: 0.7489
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254/254 [==============================] - 1s 3ms/step - loss: 0.5145 - acc: 0.7475
254/254 [==============================] - 1s 4ms/step - loss: 0.5145 - acc: 0.7475 - val_loss: 0.4948 - val_acc: 0.7584
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.4316 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.5173 - acc: 0.7316
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89/254 [=========>....................] - ETA: 0s - loss: 0.5071 - acc: 0.7399
102/254 [===========>..................] - ETA: 0s - loss: 0.5060 - acc: 0.7451
114/254 [============>.................] - ETA: 0s - loss: 0.5010 - acc: 0.7461
129/254 [==============>...............] - ETA: 0s - loss: 0.4997 - acc: 0.7496
147/254 [================>.............] - ETA: 0s - loss: 0.4956 - acc: 0.7503
155/254 [=================>............] - ETA: 0s - loss: 0.4957 - acc: 0.7532
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249/254 [============================>.] - ETA: 0s - loss: 0.5029 - acc: 0.7516
254/254 [==============================] - 1s 3ms/step - loss: 0.5026 - acc: 0.7516
254/254 [==============================] - 1s 5ms/step - loss: 0.5026 - acc: 0.7516 - val_loss: 0.4949 - val_acc: 0.7602
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.6478 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5547 - acc: 0.7053
33/254 [==>...........................] - ETA: 0s - loss: 0.5523 - acc: 0.7182
46/254 [====>.........................] - ETA: 0s - loss: 0.5400 - acc: 0.7217
62/254 [======>.......................] - ETA: 0s - loss: 0.5352 - acc: 0.7234
69/254 [=======>......................] - ETA: 0s - loss: 0.5225 - acc: 0.7319
88/254 [=========>....................] - ETA: 0s - loss: 0.5134 - acc: 0.7415
106/254 [===========>..................] - ETA: 0s - loss: 0.5178 - acc: 0.7368
125/254 [=============>................] - ETA: 0s - loss: 0.5066 - acc: 0.7424
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156/254 [=================>............] - ETA: 0s - loss: 0.5087 - acc: 0.7458
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243/254 [===========================>..] - ETA: 0s - loss: 0.5035 - acc: 0.7502
254/254 [==============================] - 1s 3ms/step - loss: 0.5023 - acc: 0.7514
254/254 [==============================] - 1s 4ms/step - loss: 0.5023 - acc: 0.7514 - val_loss: 0.4702 - val_acc: 0.7691
Epoch 5/50
1/254 [..............................] - ETA: 2s - loss: 0.7262 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4511 - acc: 0.7833
29/254 [==>...........................] - ETA: 0s - loss: 0.5025 - acc: 0.7397
47/254 [====>.........................] - ETA: 0s - loss: 0.5209 - acc: 0.7340
67/254 [======>.......................] - ETA: 0s - loss: 0.5129 - acc: 0.7396
84/254 [========>.....................] - ETA: 0s - loss: 0.5050 - acc: 0.7399
102/254 [===========>..................] - ETA: 0s - loss: 0.5133 - acc: 0.7377
120/254 [=============>................] - ETA: 0s - loss: 0.5016 - acc: 0.7417
136/254 [===============>..............] - ETA: 0s - loss: 0.5073 - acc: 0.7441
154/254 [=================>............] - ETA: 0s - loss: 0.5066 - acc: 0.7461
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247/254 [============================>.] - ETA: 0s - loss: 0.4999 - acc: 0.7504
254/254 [==============================] - 1s 3ms/step - loss: 0.4997 - acc: 0.7514
254/254 [==============================] - 1s 4ms/step - loss: 0.4997 - acc: 0.7514 - val_loss: 0.4656 - val_acc: 0.7691
Epoch 6/50
1/254 [..............................] - ETA: 1s - loss: 0.6037 - acc: 0.8500
5/254 [..............................] - ETA: 4s - loss: 0.5419 - acc: 0.7500
13/254 [>.............................] - ETA: 2s - loss: 0.4669 - acc: 0.7692
23/254 [=>............................] - ETA: 2s - loss: 0.4886 - acc: 0.7543
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59/254 [=====>........................] - ETA: 1s - loss: 0.4978 - acc: 0.7373
75/254 [=======>......................] - ETA: 0s - loss: 0.4967 - acc: 0.7420
93/254 [=========>....................] - ETA: 0s - loss: 0.4889 - acc: 0.7500
113/254 [============>.................] - ETA: 0s - loss: 0.4856 - acc: 0.7575
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150/254 [================>.............] - ETA: 0s - loss: 0.4846 - acc: 0.7603
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188/254 [=====================>........] - ETA: 0s - loss: 0.4958 - acc: 0.7519
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244/254 [===========================>..] - ETA: 0s - loss: 0.4963 - acc: 0.7520
254/254 [==============================] - 1s 4ms/step - loss: 0.4961 - acc: 0.7542
254/254 [==============================] - 1s 5ms/step - loss: 0.4961 - acc: 0.7542 - val_loss: 0.4878 - val_acc: 0.7620
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.4447 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4990 - acc: 0.7553
39/254 [===>..........................] - ETA: 0s - loss: 0.4660 - acc: 0.7744
58/254 [=====>........................] - ETA: 0s - loss: 0.4863 - acc: 0.7578
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94/254 [==========>...................] - ETA: 0s - loss: 0.5009 - acc: 0.7452
113/254 [============>.................] - ETA: 0s - loss: 0.5042 - acc: 0.7465
132/254 [==============>...............] - ETA: 0s - loss: 0.4917 - acc: 0.7519
149/254 [================>.............] - ETA: 0s - loss: 0.4905 - acc: 0.7530
169/254 [==================>...........] - ETA: 0s - loss: 0.4875 - acc: 0.7577
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254/254 [==============================] - 1s 3ms/step - loss: 0.4952 - acc: 0.7534
254/254 [==============================] - 1s 4ms/step - loss: 0.4952 - acc: 0.7534 - val_loss: 0.4993 - val_acc: 0.7549
Epoch 8/50
1/254 [..............................] - ETA: 1s - loss: 0.8563 - acc: 0.5500
18/254 [=>............................] - ETA: 0s - loss: 0.4375 - acc: 0.7833
37/254 [===>..........................] - ETA: 0s - loss: 0.4655 - acc: 0.7622
56/254 [=====>........................] - ETA: 0s - loss: 0.4816 - acc: 0.7500
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95/254 [==========>...................] - ETA: 0s - loss: 0.4877 - acc: 0.7542
110/254 [===========>..................] - ETA: 0s - loss: 0.4945 - acc: 0.7536
129/254 [==============>...............] - ETA: 0s - loss: 0.4997 - acc: 0.7516
140/254 [===============>..............] - ETA: 0s - loss: 0.5000 - acc: 0.7518
158/254 [=================>............] - ETA: 0s - loss: 0.5026 - acc: 0.7484
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196/254 [======================>.......] - ETA: 0s - loss: 0.4990 - acc: 0.7505
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254/254 [==============================] - 1s 4ms/step - loss: 0.4965 - acc: 0.7502
254/254 [==============================] - 1s 5ms/step - loss: 0.4965 - acc: 0.7502 - val_loss: 0.4911 - val_acc: 0.7620
Epoch 9/50
1/254 [..............................] - ETA: 0s - loss: 0.5659 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.5321 - acc: 0.7342
38/254 [===>..........................] - ETA: 0s - loss: 0.5147 - acc: 0.7395
57/254 [=====>........................] - ETA: 0s - loss: 0.5033 - acc: 0.7386
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93/254 [=========>....................] - ETA: 0s - loss: 0.5027 - acc: 0.7441
112/254 [============>.................] - ETA: 0s - loss: 0.4988 - acc: 0.7473
129/254 [==============>...............] - ETA: 0s - loss: 0.4956 - acc: 0.7512
148/254 [================>.............] - ETA: 0s - loss: 0.4990 - acc: 0.7490
167/254 [==================>...........] - ETA: 0s - loss: 0.4976 - acc: 0.7527
187/254 [=====================>........] - ETA: 0s - loss: 0.4958 - acc: 0.7529
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231/254 [==========================>...] - ETA: 0s - loss: 0.4955 - acc: 0.7526
246/254 [============================>.] - ETA: 0s - loss: 0.4918 - acc: 0.7537
254/254 [==============================] - 1s 3ms/step - loss: 0.4913 - acc: 0.7538
254/254 [==============================] - 1s 4ms/step - loss: 0.4913 - acc: 0.7538 - val_loss: 0.4737 - val_acc: 0.7655
Epoch 10/50
1/254 [..............................] - ETA: 1s - loss: 0.4844 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4268 - acc: 0.8222
38/254 [===>..........................] - ETA: 0s - loss: 0.4495 - acc: 0.7895
57/254 [=====>........................] - ETA: 0s - loss: 0.4691 - acc: 0.7614
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89/254 [=========>....................] - ETA: 0s - loss: 0.4945 - acc: 0.7539
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127/254 [==============>...............] - ETA: 0s - loss: 0.4938 - acc: 0.7524
145/254 [================>.............] - ETA: 0s - loss: 0.4974 - acc: 0.7524
163/254 [==================>...........] - ETA: 0s - loss: 0.4966 - acc: 0.7503
182/254 [====================>.........] - ETA: 0s - loss: 0.4935 - acc: 0.7500
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217/254 [========================>.....] - ETA: 0s - loss: 0.4919 - acc: 0.7516
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254/254 [==============================] - 1s 3ms/step - loss: 0.4885 - acc: 0.7571
254/254 [==============================] - 1s 4ms/step - loss: 0.4885 - acc: 0.7571 - val_loss: 0.5215 - val_acc: 0.7442
Epoch 11/50
1/254 [..............................] - ETA: 1s - loss: 0.4260 - acc: 0.7500
4/254 [..............................] - ETA: 4s - loss: 0.4034 - acc: 0.7625
23/254 [=>............................] - ETA: 1s - loss: 0.4529 - acc: 0.7435
41/254 [===>..........................] - ETA: 0s - loss: 0.4732 - acc: 0.7378
59/254 [=====>........................] - ETA: 0s - loss: 0.4813 - acc: 0.7525
76/254 [=======>......................] - ETA: 0s - loss: 0.4735 - acc: 0.7586
94/254 [==========>...................] - ETA: 0s - loss: 0.4842 - acc: 0.7537
113/254 [============>.................] - ETA: 0s - loss: 0.4852 - acc: 0.7513
132/254 [==============>...............] - ETA: 0s - loss: 0.4868 - acc: 0.7538
149/254 [================>.............] - ETA: 0s - loss: 0.4936 - acc: 0.7477
169/254 [==================>...........] - ETA: 0s - loss: 0.4960 - acc: 0.7470
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215/254 [========================>.....] - ETA: 0s - loss: 0.4907 - acc: 0.7519
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238/254 [===========================>..] - ETA: 0s - loss: 0.4897 - acc: 0.7521
254/254 [==============================] - 1s 3ms/step - loss: 0.4908 - acc: 0.7489
254/254 [==============================] - 1s 5ms/step - loss: 0.4908 - acc: 0.7489 - val_loss: 0.4890 - val_acc: 0.7602
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.3552 - acc: 0.6500
20/254 [=>............................] - ETA: 0s - loss: 0.5187 - acc: 0.7450
40/254 [===>..........................] - ETA: 0s - loss: 0.4744 - acc: 0.7513
58/254 [=====>........................] - ETA: 0s - loss: 0.4804 - acc: 0.7466
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94/254 [==========>...................] - ETA: 0s - loss: 0.4742 - acc: 0.7628
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133/254 [==============>...............] - ETA: 0s - loss: 0.4651 - acc: 0.7647
150/254 [================>.............] - ETA: 0s - loss: 0.4717 - acc: 0.7633
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169/254 [==================>...........] - ETA: 0s - loss: 0.4765 - acc: 0.7571
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199/254 [======================>.......] - ETA: 0s - loss: 0.4838 - acc: 0.7545
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250/254 [============================>.] - ETA: 0s - loss: 0.4866 - acc: 0.7522
254/254 [==============================] - 1s 3ms/step - loss: 0.4856 - acc: 0.7526
254/254 [==============================] - 1s 4ms/step - loss: 0.4856 - acc: 0.7526 - val_loss: 0.5010 - val_acc: 0.7567
Epoch 13/50
1/254 [..............................] - ETA: 0s - loss: 0.3556 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4421 - acc: 0.7583
37/254 [===>..........................] - ETA: 0s - loss: 0.4573 - acc: 0.7635
56/254 [=====>........................] - ETA: 0s - loss: 0.4530 - acc: 0.7679
74/254 [=======>......................] - ETA: 0s - loss: 0.4726 - acc: 0.7554
92/254 [=========>....................] - ETA: 0s - loss: 0.4758 - acc: 0.7592
112/254 [============>.................] - ETA: 0s - loss: 0.4855 - acc: 0.7563
128/254 [==============>...............] - ETA: 0s - loss: 0.4821 - acc: 0.7566
144/254 [================>.............] - ETA: 0s - loss: 0.4868 - acc: 0.7552
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238/254 [===========================>..] - ETA: 0s - loss: 0.4886 - acc: 0.7523
254/254 [==============================] - 1s 3ms/step - loss: 0.4892 - acc: 0.7538
254/254 [==============================] - 1s 4ms/step - loss: 0.4892 - acc: 0.7538 - val_loss: 0.4816 - val_acc: 0.7602
Epoch 14/50
1/254 [..............................] - ETA: 1s - loss: 0.8783 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4470 - acc: 0.7750
37/254 [===>..........................] - ETA: 0s - loss: 0.4695 - acc: 0.7622
57/254 [=====>........................] - ETA: 0s - loss: 0.4726 - acc: 0.7491
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107/254 [===========>..................] - ETA: 0s - loss: 0.4850 - acc: 0.7467
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250/254 [============================>.] - ETA: 0s - loss: 0.4907 - acc: 0.7456
254/254 [==============================] - 1s 3ms/step - loss: 0.4889 - acc: 0.7459
254/254 [==============================] - 1s 5ms/step - loss: 0.4889 - acc: 0.7459 - val_loss: 0.4892 - val_acc: 0.7513
Epoch 15/50
1/254 [..............................] - ETA: 0s - loss: 0.5123 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4468 - acc: 0.7789
39/254 [===>..........................] - ETA: 0s - loss: 0.4649 - acc: 0.7679
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135/254 [==============>...............] - ETA: 0s - loss: 0.4861 - acc: 0.7541
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254/254 [==============================] - 1s 3ms/step - loss: 0.4871 - acc: 0.7512
254/254 [==============================] - 1s 4ms/step - loss: 0.4871 - acc: 0.7512 - val_loss: 0.4827 - val_acc: 0.7602
Run completed: runs/2024-05-06T19-42-43Z
Training run 28/52 (flags = list(64, 32, 0.01, 20, 30, "tanh", "relu", 0.2, 0.5))
Using run directory runs/2024-05-06T19-43-02Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 7:45 - loss: 0.6229 - acc: 0.4000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.1325s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.1325s). Check your callbacks.
17/254 [=>............................] - ETA: 0s - loss: 0.6267 - acc: 0.6000
34/254 [===>..........................] - ETA: 0s - loss: 0.5888 - acc: 0.6471
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219/254 [========================>.....] - ETA: 0s - loss: 0.5578 - acc: 0.7037
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250/254 [============================>.] - ETA: 0s - loss: 0.5611 - acc: 0.7026
254/254 [==============================] - 3s 4ms/step - loss: 0.5594 - acc: 0.7041
254/254 [==============================] - 4s 7ms/step - loss: 0.5594 - acc: 0.7041 - val_loss: 0.4852 - val_acc: 0.7673
Epoch 2/30
1/254 [..............................] - ETA: 1s - loss: 0.5986 - acc: 0.7500
12/254 [>.............................] - ETA: 1s - loss: 0.4958 - acc: 0.7542
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39/254 [===>..........................] - ETA: 0s - loss: 0.5098 - acc: 0.7462
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117/254 [============>.................] - ETA: 0s - loss: 0.5006 - acc: 0.7466
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142/254 [===============>..............] - ETA: 0s - loss: 0.5008 - acc: 0.7465
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247/254 [============================>.] - ETA: 0s - loss: 0.5156 - acc: 0.7411
254/254 [==============================] - 1s 3ms/step - loss: 0.5142 - acc: 0.7414
254/254 [==============================] - 1s 4ms/step - loss: 0.5142 - acc: 0.7414 - val_loss: 0.4790 - val_acc: 0.7744
Epoch 3/30
1/254 [..............................] - ETA: 0s - loss: 0.3789 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4905 - acc: 0.7806
37/254 [===>..........................] - ETA: 0s - loss: 0.4917 - acc: 0.7838
55/254 [=====>........................] - ETA: 0s - loss: 0.4892 - acc: 0.7755
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152/254 [================>.............] - ETA: 0s - loss: 0.4900 - acc: 0.7658
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235/254 [==========================>...] - ETA: 0s - loss: 0.5028 - acc: 0.7602
253/254 [============================>.] - ETA: 0s - loss: 0.5060 - acc: 0.7551
254/254 [==============================] - 1s 3ms/step - loss: 0.5060 - acc: 0.7548
254/254 [==============================] - 1s 5ms/step - loss: 0.5060 - acc: 0.7548 - val_loss: 0.5215 - val_acc: 0.7353
Epoch 4/30
1/254 [..............................] - ETA: 1s - loss: 0.3397 - acc: 0.8500
14/254 [>.............................] - ETA: 0s - loss: 0.4936 - acc: 0.7429
21/254 [=>............................] - ETA: 1s - loss: 0.5003 - acc: 0.7500
39/254 [===>..........................] - ETA: 0s - loss: 0.4666 - acc: 0.7590
56/254 [=====>........................] - ETA: 0s - loss: 0.4716 - acc: 0.7527
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86/254 [=========>....................] - ETA: 0s - loss: 0.4860 - acc: 0.7488
104/254 [===========>..................] - ETA: 0s - loss: 0.4959 - acc: 0.7476
121/254 [=============>................] - ETA: 0s - loss: 0.5036 - acc: 0.7434
138/254 [===============>..............] - ETA: 0s - loss: 0.5096 - acc: 0.7373
155/254 [=================>............] - ETA: 0s - loss: 0.5094 - acc: 0.7368
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191/254 [=====================>........] - ETA: 0s - loss: 0.5061 - acc: 0.7411
209/254 [=======================>......] - ETA: 0s - loss: 0.4993 - acc: 0.7447
228/254 [=========================>....] - ETA: 0s - loss: 0.5038 - acc: 0.7445
245/254 [===========================>..] - ETA: 0s - loss: 0.5001 - acc: 0.7471
254/254 [==============================] - 1s 3ms/step - loss: 0.4996 - acc: 0.7489
254/254 [==============================] - 1s 4ms/step - loss: 0.4996 - acc: 0.7489 - val_loss: 0.4810 - val_acc: 0.7638
Epoch 5/30
1/254 [..............................] - ETA: 1s - loss: 0.4201 - acc: 0.8000
7/254 [..............................] - ETA: 2s - loss: 0.5508 - acc: 0.7643
26/254 [==>...........................] - ETA: 0s - loss: 0.5109 - acc: 0.7731
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63/254 [======>.......................] - ETA: 0s - loss: 0.5102 - acc: 0.7579
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217/254 [========================>.....] - ETA: 0s - loss: 0.5015 - acc: 0.7512
235/254 [==========================>...] - ETA: 0s - loss: 0.5000 - acc: 0.7534
251/254 [============================>.] - ETA: 0s - loss: 0.4999 - acc: 0.7524
254/254 [==============================] - 1s 3ms/step - loss: 0.4988 - acc: 0.7526
254/254 [==============================] - 1s 5ms/step - loss: 0.4988 - acc: 0.7526 - val_loss: 0.4796 - val_acc: 0.7638
Epoch 6/30
1/254 [..............................] - ETA: 1s - loss: 0.4500 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5130 - acc: 0.7361
36/254 [===>..........................] - ETA: 0s - loss: 0.4862 - acc: 0.7472
54/254 [=====>........................] - ETA: 0s - loss: 0.4948 - acc: 0.7454
69/254 [=======>......................] - ETA: 0s - loss: 0.4884 - acc: 0.7478
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134/254 [==============>...............] - ETA: 0s - loss: 0.4852 - acc: 0.7578
137/254 [===============>..............] - ETA: 0s - loss: 0.4889 - acc: 0.7573
156/254 [=================>............] - ETA: 0s - loss: 0.4917 - acc: 0.7561
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211/254 [=======================>......] - ETA: 0s - loss: 0.4918 - acc: 0.7576
229/254 [==========================>...] - ETA: 0s - loss: 0.4993 - acc: 0.7541
246/254 [============================>.] - ETA: 0s - loss: 0.4970 - acc: 0.7541
254/254 [==============================] - 1s 3ms/step - loss: 0.4942 - acc: 0.7550
254/254 [==============================] - 1s 5ms/step - loss: 0.4942 - acc: 0.7550 - val_loss: 0.4835 - val_acc: 0.7620
Epoch 7/30
1/254 [..............................] - ETA: 1s - loss: 0.4250 - acc: 0.8000
14/254 [>.............................] - ETA: 0s - loss: 0.4858 - acc: 0.8000
32/254 [==>...........................] - ETA: 0s - loss: 0.5105 - acc: 0.7609
50/254 [====>.........................] - ETA: 0s - loss: 0.4933 - acc: 0.7660
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86/254 [=========>....................] - ETA: 0s - loss: 0.4893 - acc: 0.7640
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123/254 [=============>................] - ETA: 0s - loss: 0.4904 - acc: 0.7524
141/254 [===============>..............] - ETA: 0s - loss: 0.5010 - acc: 0.7486
157/254 [=================>............] - ETA: 0s - loss: 0.4989 - acc: 0.7497
175/254 [===================>..........] - ETA: 0s - loss: 0.4958 - acc: 0.7506
186/254 [====================>.........] - ETA: 0s - loss: 0.4966 - acc: 0.7522
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211/254 [=======================>......] - ETA: 0s - loss: 0.4939 - acc: 0.7505
229/254 [==========================>...] - ETA: 0s - loss: 0.4950 - acc: 0.7504
245/254 [===========================>..] - ETA: 0s - loss: 0.4987 - acc: 0.7480
254/254 [==============================] - 1s 3ms/step - loss: 0.4958 - acc: 0.7493
254/254 [==============================] - 1s 4ms/step - loss: 0.4958 - acc: 0.7493 - val_loss: 0.4726 - val_acc: 0.7762
Epoch 8/30
1/254 [..............................] - ETA: 1s - loss: 0.4973 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4282 - acc: 0.8167
36/254 [===>..........................] - ETA: 0s - loss: 0.4466 - acc: 0.8069
54/254 [=====>........................] - ETA: 0s - loss: 0.4734 - acc: 0.7963
71/254 [=======>......................] - ETA: 0s - loss: 0.4813 - acc: 0.7859
89/254 [=========>....................] - ETA: 0s - loss: 0.4906 - acc: 0.7691
107/254 [===========>..................] - ETA: 0s - loss: 0.4854 - acc: 0.7734
125/254 [=============>................] - ETA: 0s - loss: 0.4855 - acc: 0.7724
142/254 [===============>..............] - ETA: 0s - loss: 0.4916 - acc: 0.7655
153/254 [=================>............] - ETA: 0s - loss: 0.4892 - acc: 0.7627
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181/254 [====================>.........] - ETA: 0s - loss: 0.5028 - acc: 0.7572
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229/254 [==========================>...] - ETA: 0s - loss: 0.4975 - acc: 0.7590
246/254 [============================>.] - ETA: 0s - loss: 0.4954 - acc: 0.7614
254/254 [==============================] - 1s 3ms/step - loss: 0.4942 - acc: 0.7615
254/254 [==============================] - 1s 5ms/step - loss: 0.4942 - acc: 0.7615 - val_loss: 0.4824 - val_acc: 0.7726
Epoch 9/30
1/254 [..............................] - ETA: 1s - loss: 0.5284 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.5102 - acc: 0.7588
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69/254 [=======>......................] - ETA: 0s - loss: 0.4992 - acc: 0.7732
87/254 [=========>....................] - ETA: 0s - loss: 0.4837 - acc: 0.7764
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101/254 [==========>...................] - ETA: 0s - loss: 0.4880 - acc: 0.7767
118/254 [============>.................] - ETA: 0s - loss: 0.4893 - acc: 0.7758
133/254 [==============>...............] - ETA: 0s - loss: 0.4895 - acc: 0.7741
150/254 [================>.............] - ETA: 0s - loss: 0.4950 - acc: 0.7693
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184/254 [====================>.........] - ETA: 0s - loss: 0.4973 - acc: 0.7622
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253/254 [============================>.] - ETA: 0s - loss: 0.4965 - acc: 0.7571
254/254 [==============================] - 1s 3ms/step - loss: 0.4960 - acc: 0.7573
254/254 [==============================] - 1s 4ms/step - loss: 0.4960 - acc: 0.7573 - val_loss: 0.4845 - val_acc: 0.7620
Epoch 10/30
1/254 [..............................] - ETA: 1s - loss: 0.3993 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4590 - acc: 0.7842
37/254 [===>..........................] - ETA: 0s - loss: 0.4613 - acc: 0.7757
55/254 [=====>........................] - ETA: 0s - loss: 0.4835 - acc: 0.7673
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140/254 [===============>..............] - ETA: 0s - loss: 0.4892 - acc: 0.7625
157/254 [=================>............] - ETA: 0s - loss: 0.4910 - acc: 0.7586
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209/254 [=======================>......] - ETA: 0s - loss: 0.4936 - acc: 0.7541
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243/254 [===========================>..] - ETA: 0s - loss: 0.4947 - acc: 0.7570
254/254 [==============================] - 1s 3ms/step - loss: 0.4932 - acc: 0.7550
254/254 [==============================] - 1s 4ms/step - loss: 0.4932 - acc: 0.7550 - val_loss: 0.4845 - val_acc: 0.7655
Epoch 11/30
1/254 [..............................] - ETA: 0s - loss: 0.4784 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.4605 - acc: 0.7806
37/254 [===>..........................] - ETA: 0s - loss: 0.4600 - acc: 0.7797
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241/254 [===========================>..] - ETA: 0s - loss: 0.4958 - acc: 0.7529
254/254 [==============================] - 1s 3ms/step - loss: 0.4924 - acc: 0.7544
254/254 [==============================] - 1s 5ms/step - loss: 0.4924 - acc: 0.7544 - val_loss: 0.4901 - val_acc: 0.7549
Epoch 12/30
1/254 [..............................] - ETA: 1s - loss: 0.2926 - acc: 0.9500
17/254 [=>............................] - ETA: 0s - loss: 0.4148 - acc: 0.8176
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250/254 [============================>.] - ETA: 0s - loss: 0.4906 - acc: 0.7532
254/254 [==============================] - 1s 3ms/step - loss: 0.4902 - acc: 0.7538
254/254 [==============================] - 1s 4ms/step - loss: 0.4902 - acc: 0.7538 - val_loss: 0.4997 - val_acc: 0.7460
Epoch 13/30
1/254 [..............................] - ETA: 4s - loss: 0.5335 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.5302 - acc: 0.7333
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153/254 [=================>............] - ETA: 0s - loss: 0.4862 - acc: 0.7556
171/254 [===================>..........] - ETA: 0s - loss: 0.4881 - acc: 0.7526
189/254 [=====================>........] - ETA: 0s - loss: 0.4860 - acc: 0.7542
207/254 [=======================>......] - ETA: 0s - loss: 0.4797 - acc: 0.7570
225/254 [=========================>....] - ETA: 0s - loss: 0.4763 - acc: 0.7591
243/254 [===========================>..] - ETA: 0s - loss: 0.4800 - acc: 0.7591
254/254 [==============================] - 1s 3ms/step - loss: 0.4835 - acc: 0.7579
254/254 [==============================] - 1s 4ms/step - loss: 0.4835 - acc: 0.7579 - val_loss: 0.4882 - val_acc: 0.7602
Epoch 14/30
1/254 [..............................] - ETA: 0s - loss: 0.4402 - acc: 0.8500
13/254 [>.............................] - ETA: 1s - loss: 0.4670 - acc: 0.7885
29/254 [==>...........................] - ETA: 0s - loss: 0.4825 - acc: 0.7672
48/254 [====>.........................] - ETA: 0s - loss: 0.4949 - acc: 0.7656
65/254 [======>.......................] - ETA: 0s - loss: 0.4925 - acc: 0.7577
81/254 [========>.....................] - ETA: 0s - loss: 0.5105 - acc: 0.7488
96/254 [==========>...................] - ETA: 0s - loss: 0.5062 - acc: 0.7500
112/254 [============>.................] - ETA: 0s - loss: 0.5047 - acc: 0.7482
115/254 [============>.................] - ETA: 0s - loss: 0.5041 - acc: 0.7483
124/254 [=============>................] - ETA: 0s - loss: 0.5064 - acc: 0.7456
138/254 [===============>..............] - ETA: 0s - loss: 0.5105 - acc: 0.7431
157/254 [=================>............] - ETA: 0s - loss: 0.5050 - acc: 0.7465
175/254 [===================>..........] - ETA: 0s - loss: 0.5020 - acc: 0.7494
192/254 [=====================>........] - ETA: 0s - loss: 0.4973 - acc: 0.7500
210/254 [=======================>......] - ETA: 0s - loss: 0.4937 - acc: 0.7507
227/254 [=========================>....] - ETA: 0s - loss: 0.4928 - acc: 0.7533
241/254 [===========================>..] - ETA: 0s - loss: 0.4896 - acc: 0.7548
254/254 [==============================] - 1s 4ms/step - loss: 0.4873 - acc: 0.7566
254/254 [==============================] - 1s 5ms/step - loss: 0.4873 - acc: 0.7566 - val_loss: 0.4888 - val_acc: 0.7620
Epoch 15/30
1/254 [..............................] - ETA: 0s - loss: 0.6607 - acc: 0.6500
17/254 [=>............................] - ETA: 0s - loss: 0.4509 - acc: 0.7647
36/254 [===>..........................] - ETA: 0s - loss: 0.4724 - acc: 0.7444
55/254 [=====>........................] - ETA: 0s - loss: 0.4856 - acc: 0.7491
72/254 [=======>......................] - ETA: 0s - loss: 0.4986 - acc: 0.7437
90/254 [=========>....................] - ETA: 0s - loss: 0.4955 - acc: 0.7506
108/254 [===========>..................] - ETA: 0s - loss: 0.4882 - acc: 0.7546
126/254 [=============>................] - ETA: 0s - loss: 0.4889 - acc: 0.7563
144/254 [================>.............] - ETA: 0s - loss: 0.4914 - acc: 0.7545
161/254 [==================>...........] - ETA: 0s - loss: 0.4909 - acc: 0.7528
180/254 [====================>.........] - ETA: 0s - loss: 0.4875 - acc: 0.7544
197/254 [======================>.......] - ETA: 0s - loss: 0.4895 - acc: 0.7548
211/254 [=======================>......] - ETA: 0s - loss: 0.4883 - acc: 0.7559
227/254 [=========================>....] - ETA: 0s - loss: 0.4880 - acc: 0.7570
240/254 [===========================>..] - ETA: 0s - loss: 0.4869 - acc: 0.7600
249/254 [============================>.] - ETA: 0s - loss: 0.4870 - acc: 0.7604
254/254 [==============================] - 1s 3ms/step - loss: 0.4897 - acc: 0.7599
254/254 [==============================] - 1s 4ms/step - loss: 0.4897 - acc: 0.7599 - val_loss: 0.5089 - val_acc: 0.7549
Epoch 16/30
1/254 [..............................] - ETA: 1s - loss: 0.3536 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.4764 - acc: 0.7676
36/254 [===>..........................] - ETA: 0s - loss: 0.4883 - acc: 0.7486
51/254 [=====>........................] - ETA: 0s - loss: 0.4745 - acc: 0.7598
68/254 [=======>......................] - ETA: 0s - loss: 0.4811 - acc: 0.7654
85/254 [=========>....................] - ETA: 0s - loss: 0.4880 - acc: 0.7671
103/254 [===========>..................] - ETA: 0s - loss: 0.4816 - acc: 0.7646
121/254 [=============>................] - ETA: 0s - loss: 0.4762 - acc: 0.7616
138/254 [===============>..............] - ETA: 0s - loss: 0.4838 - acc: 0.7609
153/254 [=================>............] - ETA: 0s - loss: 0.4898 - acc: 0.7562
172/254 [===================>..........] - ETA: 0s - loss: 0.4859 - acc: 0.7605
190/254 [=====================>........] - ETA: 0s - loss: 0.4806 - acc: 0.7645
207/254 [=======================>......] - ETA: 0s - loss: 0.4856 - acc: 0.7594
219/254 [========================>.....] - ETA: 0s - loss: 0.4841 - acc: 0.7594
228/254 [=========================>....] - ETA: 0s - loss: 0.4828 - acc: 0.7605
243/254 [===========================>..] - ETA: 0s - loss: 0.4831 - acc: 0.7601
254/254 [==============================] - 1s 3ms/step - loss: 0.4817 - acc: 0.7589
254/254 [==============================] - 1s 4ms/step - loss: 0.4817 - acc: 0.7589 - val_loss: 0.5016 - val_acc: 0.7620
Epoch 17/30
1/254 [..............................] - ETA: 0s - loss: 0.3893 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5356 - acc: 0.7306
37/254 [===>..........................] - ETA: 0s - loss: 0.4912 - acc: 0.7432
55/254 [=====>........................] - ETA: 0s - loss: 0.5124 - acc: 0.7418
72/254 [=======>......................] - ETA: 0s - loss: 0.5237 - acc: 0.7437
89/254 [=========>....................] - ETA: 0s - loss: 0.5152 - acc: 0.7433
107/254 [===========>..................] - ETA: 0s - loss: 0.5091 - acc: 0.7481
125/254 [=============>................] - ETA: 0s - loss: 0.5021 - acc: 0.7540
140/254 [===============>..............] - ETA: 0s - loss: 0.5069 - acc: 0.7561
157/254 [=================>............] - ETA: 0s - loss: 0.5036 - acc: 0.7551
175/254 [===================>..........] - ETA: 0s - loss: 0.5003 - acc: 0.7603
189/254 [=====================>........] - ETA: 0s - loss: 0.4991 - acc: 0.7619
208/254 [=======================>......] - ETA: 0s - loss: 0.4963 - acc: 0.7623
224/254 [=========================>....] - ETA: 0s - loss: 0.4964 - acc: 0.7585
240/254 [===========================>..] - ETA: 0s - loss: 0.4947 - acc: 0.7585
254/254 [==============================] - 1s 3ms/step - loss: 0.4907 - acc: 0.7611
254/254 [==============================] - 1s 4ms/step - loss: 0.4907 - acc: 0.7611 - val_loss: 0.4765 - val_acc: 0.7691
Run completed: runs/2024-05-06T19-43-02Z
Training run 29/52 (flags = list(32, 64, 0.001, 50, 50, "tanh", "relu", 0.5, 0.5))
Using run directory runs/2024-05-06T19-43-24Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/102 [..............................] - ETA: 2:00 - loss: 0.7138 - acc: 0.5800
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0345s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0345s). Check your callbacks.
16/102 [===>..........................] - ETA: 0s - loss: 0.7199 - acc: 0.5437
33/102 [========>.....................] - ETA: 0s - loss: 0.6762 - acc: 0.5752
50/102 [=============>................] - ETA: 0s - loss: 0.6628 - acc: 0.5920
65/102 [==================>...........] - ETA: 0s - loss: 0.6407 - acc: 0.6052
81/102 [======================>.......] - ETA: 0s - loss: 0.6295 - acc: 0.6244
96/102 [===========================>..] - ETA: 0s - loss: 0.6217 - acc: 0.6375
102/102 [==============================] - 2s 3ms/step - loss: 0.6163 - acc: 0.6406
102/102 [==============================] - 2s 11ms/step - loss: 0.6163 - acc: 0.6406 - val_loss: 0.5309 - val_acc: 0.7300
Epoch 2/50
1/102 [..............................] - ETA: 0s - loss: 0.5717 - acc: 0.6400
15/102 [===>..........................] - ETA: 0s - loss: 0.5435 - acc: 0.7107
32/102 [========>.....................] - ETA: 0s - loss: 0.5444 - acc: 0.7206
41/102 [===========>..................] - ETA: 0s - loss: 0.5447 - acc: 0.7185
48/102 [=============>................] - ETA: 0s - loss: 0.5339 - acc: 0.7258
62/102 [=================>............] - ETA: 0s - loss: 0.5355 - acc: 0.7226
79/102 [======================>.......] - ETA: 0s - loss: 0.5372 - acc: 0.7253
93/102 [==========================>...] - ETA: 0s - loss: 0.5335 - acc: 0.7258
102/102 [==============================] - 0s 4ms/step - loss: 0.5369 - acc: 0.7240
102/102 [==============================] - 1s 7ms/step - loss: 0.5369 - acc: 0.7240 - val_loss: 0.5057 - val_acc: 0.7549
Epoch 3/50
1/102 [..............................] - ETA: 0s - loss: 0.3927 - acc: 0.9000
18/102 [====>.........................] - ETA: 0s - loss: 0.5171 - acc: 0.7444
33/102 [========>.....................] - ETA: 0s - loss: 0.4925 - acc: 0.7448
49/102 [=============>................] - ETA: 0s - loss: 0.5087 - acc: 0.7400
65/102 [==================>...........] - ETA: 0s - loss: 0.5113 - acc: 0.7443
82/102 [=======================>......] - ETA: 0s - loss: 0.5166 - acc: 0.7383
99/102 [============================>.] - ETA: 0s - loss: 0.5222 - acc: 0.7360
102/102 [==============================] - 0s 3ms/step - loss: 0.5221 - acc: 0.7359
102/102 [==============================] - 1s 7ms/step - loss: 0.5221 - acc: 0.7359 - val_loss: 0.5217 - val_acc: 0.7407
Epoch 4/50
1/102 [..............................] - ETA: 0s - loss: 0.4949 - acc: 0.7400
12/102 [==>...........................] - ETA: 0s - loss: 0.4925 - acc: 0.7367
28/102 [=======>......................] - ETA: 0s - loss: 0.5059 - acc: 0.7300
46/102 [============>.................] - ETA: 0s - loss: 0.5047 - acc: 0.7326
63/102 [=================>............] - ETA: 0s - loss: 0.5043 - acc: 0.7387
79/102 [======================>.......] - ETA: 0s - loss: 0.5153 - acc: 0.7352
96/102 [===========================>..] - ETA: 0s - loss: 0.5151 - acc: 0.7319
102/102 [==============================] - 0s 3ms/step - loss: 0.5149 - acc: 0.7325
102/102 [==============================] - 1s 6ms/step - loss: 0.5149 - acc: 0.7325 - val_loss: 0.4915 - val_acc: 0.7496
Epoch 5/50
1/102 [..............................] - ETA: 0s - loss: 0.5440 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.4506 - acc: 0.7765
35/102 [=========>....................] - ETA: 0s - loss: 0.4729 - acc: 0.7720
53/102 [==============>...............] - ETA: 0s - loss: 0.4796 - acc: 0.7660
67/102 [==================>...........] - ETA: 0s - loss: 0.5035 - acc: 0.7531
84/102 [=======================>......] - ETA: 0s - loss: 0.5114 - acc: 0.7457
102/102 [==============================] - 0s 3ms/step - loss: 0.5063 - acc: 0.7459
102/102 [==============================] - 1s 7ms/step - loss: 0.5063 - acc: 0.7459 - val_loss: 0.5039 - val_acc: 0.7478
Epoch 6/50
1/102 [..............................] - ETA: 0s - loss: 0.5269 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.4809 - acc: 0.7600
31/102 [========>.....................] - ETA: 0s - loss: 0.4971 - acc: 0.7542
48/102 [=============>................] - ETA: 0s - loss: 0.5059 - acc: 0.7412
64/102 [=================>............] - ETA: 0s - loss: 0.5035 - acc: 0.7403
81/102 [======================>.......] - ETA: 0s - loss: 0.5118 - acc: 0.7353
97/102 [===========================>..] - ETA: 0s - loss: 0.5110 - acc: 0.7384
102/102 [==============================] - 0s 3ms/step - loss: 0.5098 - acc: 0.7398
102/102 [==============================] - 1s 6ms/step - loss: 0.5098 - acc: 0.7398 - val_loss: 0.4854 - val_acc: 0.7584
Epoch 7/50
1/102 [..............................] - ETA: 0s - loss: 0.5491 - acc: 0.8200
17/102 [====>.........................] - ETA: 0s - loss: 0.5120 - acc: 0.7412
34/102 [=========>....................] - ETA: 0s - loss: 0.5009 - acc: 0.7394
42/102 [===========>..................] - ETA: 0s - loss: 0.4965 - acc: 0.7410
51/102 [==============>...............] - ETA: 0s - loss: 0.4911 - acc: 0.7467
66/102 [==================>...........] - ETA: 0s - loss: 0.4981 - acc: 0.7439
83/102 [=======================>......] - ETA: 0s - loss: 0.4989 - acc: 0.7422
98/102 [===========================>..] - ETA: 0s - loss: 0.4955 - acc: 0.7439
102/102 [==============================] - 0s 4ms/step - loss: 0.4955 - acc: 0.7455
102/102 [==============================] - 1s 7ms/step - loss: 0.4955 - acc: 0.7455 - val_loss: 0.4872 - val_acc: 0.7549
Epoch 8/50
1/102 [..............................] - ETA: 0s - loss: 0.5409 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5044 - acc: 0.7367
36/102 [=========>....................] - ETA: 0s - loss: 0.4940 - acc: 0.7461
47/102 [============>.................] - ETA: 0s - loss: 0.4881 - acc: 0.7519
63/102 [=================>............] - ETA: 0s - loss: 0.4931 - acc: 0.7530
79/102 [======================>.......] - ETA: 0s - loss: 0.4982 - acc: 0.7514
96/102 [===========================>..] - ETA: 0s - loss: 0.4978 - acc: 0.7483
102/102 [==============================] - 0s 3ms/step - loss: 0.4983 - acc: 0.7479
102/102 [==============================] - 1s 8ms/step - loss: 0.4983 - acc: 0.7479 - val_loss: 0.4905 - val_acc: 0.7442
Epoch 9/50
1/102 [..............................] - ETA: 0s - loss: 0.7071 - acc: 0.6200
16/102 [===>..........................] - ETA: 0s - loss: 0.4915 - acc: 0.7437
33/102 [========>.....................] - ETA: 0s - loss: 0.5070 - acc: 0.7448
50/102 [=============>................] - ETA: 0s - loss: 0.5082 - acc: 0.7464
67/102 [==================>...........] - ETA: 0s - loss: 0.5044 - acc: 0.7418
84/102 [=======================>......] - ETA: 0s - loss: 0.5053 - acc: 0.7462
101/102 [============================>.] - ETA: 0s - loss: 0.5072 - acc: 0.7428
102/102 [==============================] - 0s 3ms/step - loss: 0.5062 - acc: 0.7433
102/102 [==============================] - 1s 6ms/step - loss: 0.5062 - acc: 0.7433 - val_loss: 0.4936 - val_acc: 0.7496
Epoch 10/50
1/102 [..............................] - ETA: 0s - loss: 0.4108 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.4902 - acc: 0.7565
26/102 [======>.......................] - ETA: 0s - loss: 0.4968 - acc: 0.7400
40/102 [==========>...................] - ETA: 0s - loss: 0.5076 - acc: 0.7365
50/102 [=============>................] - ETA: 0s - loss: 0.5074 - acc: 0.7348
65/102 [==================>...........] - ETA: 0s - loss: 0.5050 - acc: 0.7378
80/102 [======================>.......] - ETA: 0s - loss: 0.5023 - acc: 0.7395
95/102 [==========================>...] - ETA: 0s - loss: 0.4976 - acc: 0.7396
102/102 [==============================] - 0s 4ms/step - loss: 0.4965 - acc: 0.7418
102/102 [==============================] - 1s 7ms/step - loss: 0.4965 - acc: 0.7418 - val_loss: 0.4840 - val_acc: 0.7496
Epoch 11/50
1/102 [..............................] - ETA: 0s - loss: 0.4420 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.4590 - acc: 0.7778
35/102 [=========>....................] - ETA: 0s - loss: 0.4826 - acc: 0.7691
53/102 [==============>...............] - ETA: 0s - loss: 0.4835 - acc: 0.7589
68/102 [===================>..........] - ETA: 0s - loss: 0.4959 - acc: 0.7524
85/102 [========================>.....] - ETA: 0s - loss: 0.4960 - acc: 0.7449
102/102 [==============================] - 0s 3ms/step - loss: 0.4966 - acc: 0.7471
102/102 [==============================] - 1s 5ms/step - loss: 0.4966 - acc: 0.7471 - val_loss: 0.4860 - val_acc: 0.7567
Epoch 12/50
1/102 [..............................] - ETA: 0s - loss: 0.6659 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.4928 - acc: 0.7500
32/102 [========>.....................] - ETA: 0s - loss: 0.4852 - acc: 0.7544
49/102 [=============>................] - ETA: 0s - loss: 0.4900 - acc: 0.7527
65/102 [==================>...........] - ETA: 0s - loss: 0.4887 - acc: 0.7538
81/102 [======================>.......] - ETA: 0s - loss: 0.4964 - acc: 0.7546
97/102 [===========================>..] - ETA: 0s - loss: 0.5010 - acc: 0.7532
102/102 [==============================] - 0s 3ms/step - loss: 0.5015 - acc: 0.7506
102/102 [==============================] - 1s 7ms/step - loss: 0.5015 - acc: 0.7506 - val_loss: 0.4997 - val_acc: 0.7513
Epoch 13/50
1/102 [..............................] - ETA: 0s - loss: 0.5984 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.4661 - acc: 0.7635
34/102 [=========>....................] - ETA: 0s - loss: 0.4891 - acc: 0.7571
49/102 [=============>................] - ETA: 0s - loss: 0.4956 - acc: 0.7527
58/102 [================>.............] - ETA: 0s - loss: 0.4928 - acc: 0.7510
73/102 [====================>.........] - ETA: 0s - loss: 0.4873 - acc: 0.7542
86/102 [========================>.....] - ETA: 0s - loss: 0.4887 - acc: 0.7551
101/102 [============================>.] - ETA: 0s - loss: 0.4882 - acc: 0.7558
102/102 [==============================] - 0s 4ms/step - loss: 0.4878 - acc: 0.7554
102/102 [==============================] - 1s 7ms/step - loss: 0.4878 - acc: 0.7554 - val_loss: 0.4808 - val_acc: 0.7584
Epoch 14/50
1/102 [..............................] - ETA: 0s - loss: 0.5090 - acc: 0.7000
12/102 [==>...........................] - ETA: 0s - loss: 0.5322 - acc: 0.7450
17/102 [====>.........................] - ETA: 0s - loss: 0.5107 - acc: 0.7576
25/102 [======>.......................] - ETA: 0s - loss: 0.4915 - acc: 0.7672
41/102 [===========>..................] - ETA: 0s - loss: 0.4890 - acc: 0.7590
56/102 [===============>..............] - ETA: 0s - loss: 0.4867 - acc: 0.7636
71/102 [===================>..........] - ETA: 0s - loss: 0.4903 - acc: 0.7645
87/102 [========================>.....] - ETA: 0s - loss: 0.5003 - acc: 0.7582
102/102 [==============================] - 0s 5ms/step - loss: 0.4990 - acc: 0.7579
102/102 [==============================] - 1s 8ms/step - loss: 0.4990 - acc: 0.7579 - val_loss: 0.4926 - val_acc: 0.7531
Epoch 15/50
1/102 [..............................] - ETA: 0s - loss: 0.4864 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.5147 - acc: 0.7271
34/102 [=========>....................] - ETA: 0s - loss: 0.4967 - acc: 0.7524
51/102 [==============>...............] - ETA: 0s - loss: 0.4906 - acc: 0.7557
66/102 [==================>...........] - ETA: 0s - loss: 0.4909 - acc: 0.7555
83/102 [=======================>......] - ETA: 0s - loss: 0.4923 - acc: 0.7549
99/102 [============================>.] - ETA: 0s - loss: 0.4916 - acc: 0.7529
102/102 [==============================] - 0s 3ms/step - loss: 0.4912 - acc: 0.7534
102/102 [==============================] - 1s 5ms/step - loss: 0.4912 - acc: 0.7534 - val_loss: 0.4863 - val_acc: 0.7602
Epoch 16/50
1/102 [..............................] - ETA: 0s - loss: 0.4878 - acc: 0.7800
16/102 [===>..........................] - ETA: 0s - loss: 0.5014 - acc: 0.7287
34/102 [=========>....................] - ETA: 0s - loss: 0.4871 - acc: 0.7535
50/102 [=============>................] - ETA: 0s - loss: 0.4876 - acc: 0.7472
67/102 [==================>...........] - ETA: 0s - loss: 0.5013 - acc: 0.7478
84/102 [=======================>......] - ETA: 0s - loss: 0.5054 - acc: 0.7467
99/102 [============================>.] - ETA: 0s - loss: 0.5021 - acc: 0.7471
102/102 [==============================] - 0s 3ms/step - loss: 0.5006 - acc: 0.7491
102/102 [==============================] - 1s 6ms/step - loss: 0.5006 - acc: 0.7491 - val_loss: 0.5039 - val_acc: 0.7442
Epoch 17/50
1/102 [..............................] - ETA: 0s - loss: 0.5174 - acc: 0.7400
8/102 [=>............................] - ETA: 0s - loss: 0.4786 - acc: 0.7725
18/102 [====>.........................] - ETA: 0s - loss: 0.4750 - acc: 0.7600
34/102 [=========>....................] - ETA: 0s - loss: 0.4841 - acc: 0.7576
48/102 [=============>................] - ETA: 0s - loss: 0.4952 - acc: 0.7538
64/102 [=================>............] - ETA: 0s - loss: 0.4976 - acc: 0.7494
79/102 [======================>.......] - ETA: 0s - loss: 0.5006 - acc: 0.7458
95/102 [==========================>...] - ETA: 0s - loss: 0.5006 - acc: 0.7484
102/102 [==============================] - 0s 4ms/step - loss: 0.5000 - acc: 0.7477
102/102 [==============================] - 1s 7ms/step - loss: 0.5000 - acc: 0.7477 - val_loss: 0.4915 - val_acc: 0.7496
Epoch 18/50
1/102 [..............................] - ETA: 0s - loss: 0.6213 - acc: 0.6400
16/102 [===>..........................] - ETA: 0s - loss: 0.5303 - acc: 0.7138
33/102 [========>.....................] - ETA: 0s - loss: 0.5134 - acc: 0.7279
50/102 [=============>................] - ETA: 0s - loss: 0.5007 - acc: 0.7332
65/102 [==================>...........] - ETA: 0s - loss: 0.4926 - acc: 0.7480
81/102 [======================>.......] - ETA: 0s - loss: 0.4911 - acc: 0.7496
97/102 [===========================>..] - ETA: 0s - loss: 0.4964 - acc: 0.7474
102/102 [==============================] - 0s 3ms/step - loss: 0.4979 - acc: 0.7471
102/102 [==============================] - 1s 7ms/step - loss: 0.4979 - acc: 0.7471 - val_loss: 0.4869 - val_acc: 0.7584
Epoch 19/50
1/102 [..............................] - ETA: 0s - loss: 0.3691 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.4924 - acc: 0.7682
35/102 [=========>....................] - ETA: 0s - loss: 0.4871 - acc: 0.7589
51/102 [==============>...............] - ETA: 0s - loss: 0.4895 - acc: 0.7561
67/102 [==================>...........] - ETA: 0s - loss: 0.4863 - acc: 0.7693
72/102 [====================>.........] - ETA: 0s - loss: 0.4840 - acc: 0.7686
88/102 [========================>.....] - ETA: 0s - loss: 0.4894 - acc: 0.7607
102/102 [==============================] - 0s 4ms/step - loss: 0.4931 - acc: 0.7613
102/102 [==============================] - 1s 6ms/step - loss: 0.4931 - acc: 0.7613 - val_loss: 0.4889 - val_acc: 0.7602
Epoch 20/50
1/102 [..............................] - ETA: 0s - loss: 0.4180 - acc: 0.8400
17/102 [====>.........................] - ETA: 0s - loss: 0.4881 - acc: 0.7576
35/102 [=========>....................] - ETA: 0s - loss: 0.4965 - acc: 0.7577
52/102 [==============>...............] - ETA: 0s - loss: 0.5044 - acc: 0.7546
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84/102 [=======================>......] - ETA: 0s - loss: 0.5008 - acc: 0.7564
102/102 [==============================] - 0s 3ms/step - loss: 0.4998 - acc: 0.7554
102/102 [==============================] - 1s 6ms/step - loss: 0.4998 - acc: 0.7554 - val_loss: 0.4922 - val_acc: 0.7602
Epoch 21/50
1/102 [..............................] - ETA: 1s - loss: 0.5264 - acc: 0.7000
14/102 [===>..........................] - ETA: 0s - loss: 0.4939 - acc: 0.7529
31/102 [========>.....................] - ETA: 0s - loss: 0.4868 - acc: 0.7632
33/102 [========>.....................] - ETA: 0s - loss: 0.4861 - acc: 0.7636
48/102 [=============>................] - ETA: 0s - loss: 0.4932 - acc: 0.7567
52/102 [==============>...............] - ETA: 0s - loss: 0.4950 - acc: 0.7527
69/102 [===================>..........] - ETA: 0s - loss: 0.4894 - acc: 0.7568
83/102 [=======================>......] - ETA: 0s - loss: 0.4896 - acc: 0.7564
101/102 [============================>.] - ETA: 0s - loss: 0.4916 - acc: 0.7558
102/102 [==============================] - 0s 4ms/step - loss: 0.4917 - acc: 0.7558
102/102 [==============================] - 1s 8ms/step - loss: 0.4917 - acc: 0.7558 - val_loss: 0.4853 - val_acc: 0.7584
Epoch 22/50
1/102 [..............................] - ETA: 0s - loss: 0.5571 - acc: 0.5400
15/102 [===>..........................] - ETA: 0s - loss: 0.4505 - acc: 0.7547
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80/102 [======================>.......] - ETA: 0s - loss: 0.4884 - acc: 0.7600
93/102 [==========================>...] - ETA: 0s - loss: 0.4903 - acc: 0.7609
99/102 [============================>.] - ETA: 0s - loss: 0.4913 - acc: 0.7610
102/102 [==============================] - 0s 4ms/step - loss: 0.4936 - acc: 0.7613
102/102 [==============================] - 1s 7ms/step - loss: 0.4936 - acc: 0.7613 - val_loss: 0.4948 - val_acc: 0.7584
Epoch 23/50
1/102 [..............................] - ETA: 0s - loss: 0.5507 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.4862 - acc: 0.7588
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52/102 [==============>...............] - ETA: 0s - loss: 0.4885 - acc: 0.7588
67/102 [==================>...........] - ETA: 0s - loss: 0.4879 - acc: 0.7567
83/102 [=======================>......] - ETA: 0s - loss: 0.4939 - acc: 0.7506
100/102 [============================>.] - ETA: 0s - loss: 0.4929 - acc: 0.7520
102/102 [==============================] - 0s 3ms/step - loss: 0.4915 - acc: 0.7520
102/102 [==============================] - 1s 6ms/step - loss: 0.4915 - acc: 0.7520 - val_loss: 0.4927 - val_acc: 0.7567
Run completed: runs/2024-05-06T19-43-24Z
Training run 30/52 (flags = list(16, 32, 0.01, 20, 30, "relu", "relu", 0.5, 0.5))
Using run directory runs/2024-05-06T19-43-41Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 5:02 - loss: 0.6780 - acc: 0.7000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
17/254 [=>............................] - ETA: 0s - loss: 0.6600 - acc: 0.6206
35/254 [===>..........................] - ETA: 0s - loss: 0.6534 - acc: 0.6257
48/254 [====>.........................] - ETA: 0s - loss: 0.6454 - acc: 0.6250
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103/254 [===========>..................] - ETA: 0s - loss: 0.6351 - acc: 0.6408
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191/254 [=====================>........] - ETA: 0s - loss: 0.6199 - acc: 0.6563
204/254 [=======================>......] - ETA: 0s - loss: 0.6189 - acc: 0.6598
207/254 [=======================>......] - ETA: 0s - loss: 0.6175 - acc: 0.6597
225/254 [=========================>....] - ETA: 0s - loss: 0.6111 - acc: 0.6640
244/254 [===========================>..] - ETA: 0s - loss: 0.6030 - acc: 0.6709
254/254 [==============================] - 2s 4ms/step - loss: 0.6018 - acc: 0.6726
254/254 [==============================] - 3s 7ms/step - loss: 0.6018 - acc: 0.6726 - val_loss: 0.5137 - val_acc: 0.7513
Epoch 2/30
1/254 [..............................] - ETA: 0s - loss: 0.7072 - acc: 0.6000
14/254 [>.............................] - ETA: 0s - loss: 0.5948 - acc: 0.6714
32/254 [==>...........................] - ETA: 0s - loss: 0.5853 - acc: 0.6922
41/254 [===>..........................] - ETA: 0s - loss: 0.5627 - acc: 0.6890
58/254 [=====>........................] - ETA: 0s - loss: 0.5721 - acc: 0.7017
74/254 [=======>......................] - ETA: 0s - loss: 0.5660 - acc: 0.7041
82/254 [========>.....................] - ETA: 0s - loss: 0.5608 - acc: 0.7055
99/254 [==========>...................] - ETA: 0s - loss: 0.5603 - acc: 0.7030
118/254 [============>.................] - ETA: 0s - loss: 0.5587 - acc: 0.7051
135/254 [==============>...............] - ETA: 0s - loss: 0.5518 - acc: 0.7130
147/254 [================>.............] - ETA: 0s - loss: 0.5525 - acc: 0.7112
165/254 [==================>...........] - ETA: 0s - loss: 0.5507 - acc: 0.7121
183/254 [====================>.........] - ETA: 0s - loss: 0.5490 - acc: 0.7139
200/254 [======================>.......] - ETA: 0s - loss: 0.5485 - acc: 0.7130
217/254 [========================>.....] - ETA: 0s - loss: 0.5530 - acc: 0.7120
234/254 [==========================>...] - ETA: 0s - loss: 0.5467 - acc: 0.7150
249/254 [============================>.] - ETA: 0s - loss: 0.5483 - acc: 0.7159
254/254 [==============================] - 1s 4ms/step - loss: 0.5483 - acc: 0.7173
254/254 [==============================] - 1s 4ms/step - loss: 0.5483 - acc: 0.7173 - val_loss: 0.4927 - val_acc: 0.7549
Epoch 3/30
1/254 [..............................] - ETA: 1s - loss: 0.7141 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.5692 - acc: 0.6921
37/254 [===>..........................] - ETA: 0s - loss: 0.5447 - acc: 0.7270
56/254 [=====>........................] - ETA: 0s - loss: 0.5534 - acc: 0.7143
73/254 [=======>......................] - ETA: 0s - loss: 0.5446 - acc: 0.7158
92/254 [=========>....................] - ETA: 0s - loss: 0.5423 - acc: 0.7168
111/254 [============>.................] - ETA: 0s - loss: 0.5401 - acc: 0.7185
128/254 [==============>...............] - ETA: 0s - loss: 0.5320 - acc: 0.7238
146/254 [================>.............] - ETA: 0s - loss: 0.5270 - acc: 0.7236
163/254 [==================>...........] - ETA: 0s - loss: 0.5263 - acc: 0.7242
182/254 [====================>.........] - ETA: 0s - loss: 0.5288 - acc: 0.7250
191/254 [=====================>........] - ETA: 0s - loss: 0.5293 - acc: 0.7272
206/254 [=======================>......] - ETA: 0s - loss: 0.5311 - acc: 0.7284
223/254 [=========================>....] - ETA: 0s - loss: 0.5331 - acc: 0.7278
233/254 [==========================>...] - ETA: 0s - loss: 0.5331 - acc: 0.7273
251/254 [============================>.] - ETA: 0s - loss: 0.5326 - acc: 0.7285
254/254 [==============================] - 1s 3ms/step - loss: 0.5331 - acc: 0.7280
254/254 [==============================] - 1s 4ms/step - loss: 0.5331 - acc: 0.7280 - val_loss: 0.5235 - val_acc: 0.7353
Epoch 4/30
1/254 [..............................] - ETA: 0s - loss: 0.3294 - acc: 0.8000
17/254 [=>............................] - ETA: 1s - loss: 0.5198 - acc: 0.7529
28/254 [==>...........................] - ETA: 1s - loss: 0.5133 - acc: 0.7393
37/254 [===>..........................] - ETA: 1s - loss: 0.5222 - acc: 0.7230
46/254 [====>.........................] - ETA: 1s - loss: 0.5327 - acc: 0.7239
58/254 [=====>........................] - ETA: 1s - loss: 0.5417 - acc: 0.7293
76/254 [=======>......................] - ETA: 0s - loss: 0.5357 - acc: 0.7211
94/254 [==========>...................] - ETA: 0s - loss: 0.5428 - acc: 0.7149
105/254 [===========>..................] - ETA: 0s - loss: 0.5395 - acc: 0.7138
122/254 [=============>................] - ETA: 0s - loss: 0.5421 - acc: 0.7135
140/254 [===============>..............] - ETA: 0s - loss: 0.5425 - acc: 0.7114
158/254 [=================>............] - ETA: 0s - loss: 0.5406 - acc: 0.7136
175/254 [===================>..........] - ETA: 0s - loss: 0.5382 - acc: 0.7169
193/254 [=====================>........] - ETA: 0s - loss: 0.5376 - acc: 0.7158
211/254 [=======================>......] - ETA: 0s - loss: 0.5333 - acc: 0.7190
228/254 [=========================>....] - ETA: 0s - loss: 0.5321 - acc: 0.7175
244/254 [===========================>..] - ETA: 0s - loss: 0.5286 - acc: 0.7186
254/254 [==============================] - 1s 4ms/step - loss: 0.5324 - acc: 0.7173
254/254 [==============================] - 1s 5ms/step - loss: 0.5324 - acc: 0.7173 - val_loss: 0.4784 - val_acc: 0.7709
Epoch 5/30
1/254 [..............................] - ETA: 0s - loss: 0.3563 - acc: 0.9000
14/254 [>.............................] - ETA: 0s - loss: 0.4704 - acc: 0.7964
26/254 [==>...........................] - ETA: 0s - loss: 0.5012 - acc: 0.7769
42/254 [===>..........................] - ETA: 0s - loss: 0.5032 - acc: 0.7643
60/254 [======>.......................] - ETA: 0s - loss: 0.5170 - acc: 0.7550
77/254 [========>.....................] - ETA: 0s - loss: 0.5257 - acc: 0.7455
95/254 [==========>...................] - ETA: 0s - loss: 0.5232 - acc: 0.7400
109/254 [===========>..................] - ETA: 0s - loss: 0.5217 - acc: 0.7459
128/254 [==============>...............] - ETA: 0s - loss: 0.5271 - acc: 0.7418
147/254 [================>.............] - ETA: 0s - loss: 0.5294 - acc: 0.7388
167/254 [==================>...........] - ETA: 0s - loss: 0.5274 - acc: 0.7344
182/254 [====================>.........] - ETA: 0s - loss: 0.5315 - acc: 0.7324
200/254 [======================>.......] - ETA: 0s - loss: 0.5304 - acc: 0.7305
217/254 [========================>.....] - ETA: 0s - loss: 0.5296 - acc: 0.7276
234/254 [==========================>...] - ETA: 0s - loss: 0.5308 - acc: 0.7271
253/254 [============================>.] - ETA: 0s - loss: 0.5284 - acc: 0.7277
254/254 [==============================] - 1s 3ms/step - loss: 0.5280 - acc: 0.7280
254/254 [==============================] - 1s 4ms/step - loss: 0.5280 - acc: 0.7280 - val_loss: 0.4949 - val_acc: 0.7460
Epoch 6/30
1/254 [..............................] - ETA: 1s - loss: 0.5186 - acc: 0.7500
15/254 [>.............................] - ETA: 0s - loss: 0.5451 - acc: 0.7200
30/254 [==>...........................] - ETA: 0s - loss: 0.5493 - acc: 0.7017
49/254 [====>.........................] - ETA: 0s - loss: 0.5465 - acc: 0.7112
68/254 [=======>......................] - ETA: 0s - loss: 0.5398 - acc: 0.7184
84/254 [========>.....................] - ETA: 0s - loss: 0.5210 - acc: 0.7202
100/254 [==========>...................] - ETA: 0s - loss: 0.5121 - acc: 0.7240
118/254 [============>.................] - ETA: 0s - loss: 0.5100 - acc: 0.7301
136/254 [===============>..............] - ETA: 0s - loss: 0.5102 - acc: 0.7342
153/254 [=================>............] - ETA: 0s - loss: 0.5178 - acc: 0.7330
171/254 [===================>..........] - ETA: 0s - loss: 0.5226 - acc: 0.7292
190/254 [=====================>........] - ETA: 0s - loss: 0.5223 - acc: 0.7276
209/254 [=======================>......] - ETA: 0s - loss: 0.5208 - acc: 0.7268
216/254 [========================>.....] - ETA: 0s - loss: 0.5196 - acc: 0.7278
217/254 [========================>.....] - ETA: 0s - loss: 0.5191 - acc: 0.7281
223/254 [=========================>....] - ETA: 0s - loss: 0.5188 - acc: 0.7289
243/254 [===========================>..] - ETA: 0s - loss: 0.5179 - acc: 0.7300
254/254 [==============================] - 1s 3ms/step - loss: 0.5175 - acc: 0.7309
254/254 [==============================] - 1s 5ms/step - loss: 0.5175 - acc: 0.7309 - val_loss: 0.4983 - val_acc: 0.7638
Epoch 7/30
1/254 [..............................] - ETA: 0s - loss: 0.5821 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4983 - acc: 0.7194
38/254 [===>..........................] - ETA: 0s - loss: 0.5074 - acc: 0.7316
57/254 [=====>........................] - ETA: 0s - loss: 0.5141 - acc: 0.7298
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93/254 [=========>....................] - ETA: 0s - loss: 0.5070 - acc: 0.7387
111/254 [============>.................] - ETA: 0s - loss: 0.5207 - acc: 0.7306
129/254 [==============>...............] - ETA: 0s - loss: 0.5240 - acc: 0.7283
144/254 [================>.............] - ETA: 0s - loss: 0.5242 - acc: 0.7264
159/254 [=================>............] - ETA: 0s - loss: 0.5212 - acc: 0.7296
178/254 [====================>.........] - ETA: 0s - loss: 0.5229 - acc: 0.7295
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215/254 [========================>.....] - ETA: 0s - loss: 0.5241 - acc: 0.7279
232/254 [==========================>...] - ETA: 0s - loss: 0.5207 - acc: 0.7284
250/254 [============================>.] - ETA: 0s - loss: 0.5166 - acc: 0.7294
254/254 [==============================] - 1s 3ms/step - loss: 0.5156 - acc: 0.7307
254/254 [==============================] - 1s 4ms/step - loss: 0.5156 - acc: 0.7307 - val_loss: 0.4850 - val_acc: 0.7691
Epoch 8/30
1/254 [..............................] - ETA: 0s - loss: 0.5592 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4841 - acc: 0.7472
36/254 [===>..........................] - ETA: 0s - loss: 0.5219 - acc: 0.7181
54/254 [=====>........................] - ETA: 0s - loss: 0.5121 - acc: 0.7306
73/254 [=======>......................] - ETA: 0s - loss: 0.5299 - acc: 0.7342
91/254 [=========>....................] - ETA: 0s - loss: 0.5306 - acc: 0.7275
108/254 [===========>..................] - ETA: 0s - loss: 0.5223 - acc: 0.7296
128/254 [==============>...............] - ETA: 0s - loss: 0.5287 - acc: 0.7289
146/254 [================>.............] - ETA: 0s - loss: 0.5251 - acc: 0.7301
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182/254 [====================>.........] - ETA: 0s - loss: 0.5214 - acc: 0.7294
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220/254 [========================>.....] - ETA: 0s - loss: 0.5160 - acc: 0.7361
237/254 [==========================>...] - ETA: 0s - loss: 0.5168 - acc: 0.7354
254/254 [==============================] - 1s 3ms/step - loss: 0.5193 - acc: 0.7370
254/254 [==============================] - 1s 4ms/step - loss: 0.5193 - acc: 0.7370 - val_loss: 0.4880 - val_acc: 0.7620
Epoch 9/30
1/254 [..............................] - ETA: 0s - loss: 0.4438 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5256 - acc: 0.7361
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56/254 [=====>........................] - ETA: 0s - loss: 0.5142 - acc: 0.7482
73/254 [=======>......................] - ETA: 0s - loss: 0.5119 - acc: 0.7514
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149/254 [================>.............] - ETA: 0s - loss: 0.5035 - acc: 0.7456
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254/254 [==============================] - 1s 3ms/step - loss: 0.5073 - acc: 0.7364
254/254 [==============================] - 1s 4ms/step - loss: 0.5073 - acc: 0.7364 - val_loss: 0.5017 - val_acc: 0.7584
Epoch 10/30
1/254 [..............................] - ETA: 0s - loss: 0.5454 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.5006 - acc: 0.7111
38/254 [===>..........................] - ETA: 0s - loss: 0.4948 - acc: 0.7263
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161/254 [==================>...........] - ETA: 0s - loss: 0.4949 - acc: 0.7447
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244/254 [===========================>..] - ETA: 0s - loss: 0.5106 - acc: 0.7359
254/254 [==============================] - 1s 3ms/step - loss: 0.5091 - acc: 0.7366
254/254 [==============================] - 1s 4ms/step - loss: 0.5091 - acc: 0.7366 - val_loss: 0.5024 - val_acc: 0.7584
Epoch 11/30
1/254 [..............................] - ETA: 0s - loss: 0.5318 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4950 - acc: 0.7639
38/254 [===>..........................] - ETA: 0s - loss: 0.5130 - acc: 0.7697
57/254 [=====>........................] - ETA: 0s - loss: 0.5118 - acc: 0.7500
76/254 [=======>......................] - ETA: 0s - loss: 0.5099 - acc: 0.7368
93/254 [=========>....................] - ETA: 0s - loss: 0.4974 - acc: 0.7382
113/254 [============>.................] - ETA: 0s - loss: 0.4992 - acc: 0.7385
132/254 [==============>...............] - ETA: 0s - loss: 0.4975 - acc: 0.7424
152/254 [================>.............] - ETA: 0s - loss: 0.5031 - acc: 0.7421
171/254 [===================>..........] - ETA: 0s - loss: 0.5055 - acc: 0.7392
188/254 [=====================>........] - ETA: 0s - loss: 0.4977 - acc: 0.7364
201/254 [======================>.......] - ETA: 0s - loss: 0.4984 - acc: 0.7376
219/254 [========================>.....] - ETA: 0s - loss: 0.5058 - acc: 0.7370
236/254 [==========================>...] - ETA: 0s - loss: 0.5063 - acc: 0.7364
254/254 [==============================] - 1s 3ms/step - loss: 0.5054 - acc: 0.7364
254/254 [==============================] - 1s 4ms/step - loss: 0.5054 - acc: 0.7364 - val_loss: 0.4902 - val_acc: 0.7638
Epoch 12/30
1/254 [..............................] - ETA: 0s - loss: 0.6264 - acc: 0.6500
13/254 [>.............................] - ETA: 1s - loss: 0.5079 - acc: 0.7615
22/254 [=>............................] - ETA: 1s - loss: 0.4916 - acc: 0.7409
36/254 [===>..........................] - ETA: 1s - loss: 0.4897 - acc: 0.7500
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150/254 [================>.............] - ETA: 0s - loss: 0.5051 - acc: 0.7463
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186/254 [====================>.........] - ETA: 0s - loss: 0.5063 - acc: 0.7384
202/254 [======================>.......] - ETA: 0s - loss: 0.5091 - acc: 0.7384
221/254 [=========================>....] - ETA: 0s - loss: 0.5147 - acc: 0.7335
240/254 [===========================>..] - ETA: 0s - loss: 0.5110 - acc: 0.7350
254/254 [==============================] - 1s 3ms/step - loss: 0.5112 - acc: 0.7366
254/254 [==============================] - 1s 4ms/step - loss: 0.5112 - acc: 0.7366 - val_loss: 0.4994 - val_acc: 0.7602
Epoch 13/30
1/254 [..............................] - ETA: 1s - loss: 0.6028 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.5226 - acc: 0.7333
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107/254 [===========>..................] - ETA: 0s - loss: 0.5148 - acc: 0.7313
125/254 [=============>................] - ETA: 0s - loss: 0.5162 - acc: 0.7292
143/254 [===============>..............] - ETA: 0s - loss: 0.5135 - acc: 0.7311
161/254 [==================>...........] - ETA: 0s - loss: 0.5095 - acc: 0.7311
170/254 [===================>..........] - ETA: 0s - loss: 0.5080 - acc: 0.7309
178/254 [====================>.........] - ETA: 0s - loss: 0.5147 - acc: 0.7301
193/254 [=====================>........] - ETA: 0s - loss: 0.5098 - acc: 0.7326
207/254 [=======================>......] - ETA: 0s - loss: 0.5086 - acc: 0.7341
225/254 [=========================>....] - ETA: 0s - loss: 0.5087 - acc: 0.7358
243/254 [===========================>..] - ETA: 0s - loss: 0.5068 - acc: 0.7358
254/254 [==============================] - 1s 3ms/step - loss: 0.5065 - acc: 0.7347
254/254 [==============================] - 1s 4ms/step - loss: 0.5065 - acc: 0.7347 - val_loss: 0.4952 - val_acc: 0.7549
Epoch 14/30
1/254 [..............................] - ETA: 0s - loss: 0.3324 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5102 - acc: 0.7158
38/254 [===>..........................] - ETA: 0s - loss: 0.4889 - acc: 0.7408
55/254 [=====>........................] - ETA: 0s - loss: 0.4876 - acc: 0.7464
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86/254 [=========>....................] - ETA: 0s - loss: 0.5195 - acc: 0.7343
104/254 [===========>..................] - ETA: 0s - loss: 0.5176 - acc: 0.7260
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145/254 [================>.............] - ETA: 0s - loss: 0.5135 - acc: 0.7290
158/254 [=================>............] - ETA: 0s - loss: 0.5131 - acc: 0.7294
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205/254 [=======================>......] - ETA: 0s - loss: 0.5097 - acc: 0.7302
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236/254 [==========================>...] - ETA: 0s - loss: 0.5044 - acc: 0.7331
254/254 [==============================] - 1s 3ms/step - loss: 0.5067 - acc: 0.7329
254/254 [==============================] - 1s 5ms/step - loss: 0.5067 - acc: 0.7329 - val_loss: 0.4885 - val_acc: 0.7744
Run completed: runs/2024-05-06T19-43-41Z
Training run 31/52 (flags = list(64, 64, 0.001, 20, 30, "relu", "sigmoid", 0.2, 0.5))
Using run directory runs/2024-05-06T19-43-59Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 5:02 - loss: 0.4747 - acc: 0.5500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0293s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0293s). Check your callbacks.
16/254 [>.............................] - ETA: 0s - loss: 0.6926 - acc: 0.6125
34/254 [===>..........................] - ETA: 0s - loss: 0.7018 - acc: 0.5779
51/254 [=====>........................] - ETA: 0s - loss: 0.6714 - acc: 0.6029
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174/254 [===================>..........] - ETA: 0s - loss: 0.5902 - acc: 0.6776
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208/254 [=======================>......] - ETA: 0s - loss: 0.5800 - acc: 0.6856
225/254 [=========================>....] - ETA: 0s - loss: 0.5737 - acc: 0.6904
240/254 [===========================>..] - ETA: 0s - loss: 0.5677 - acc: 0.6948
254/254 [==============================] - 2s 3ms/step - loss: 0.5677 - acc: 0.6978
254/254 [==============================] - 3s 6ms/step - loss: 0.5677 - acc: 0.6978 - val_loss: 0.5053 - val_acc: 0.7620
Epoch 2/30
1/254 [..............................] - ETA: 3s - loss: 0.9330 - acc: 0.6000
13/254 [>.............................] - ETA: 1s - loss: 0.6052 - acc: 0.6692
31/254 [==>...........................] - ETA: 0s - loss: 0.5610 - acc: 0.7048
48/254 [====>.........................] - ETA: 0s - loss: 0.5448 - acc: 0.7146
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94/254 [==========>...................] - ETA: 0s - loss: 0.5111 - acc: 0.7356
111/254 [============>.................] - ETA: 0s - loss: 0.5072 - acc: 0.7383
127/254 [==============>...............] - ETA: 0s - loss: 0.5139 - acc: 0.7358
143/254 [===============>..............] - ETA: 0s - loss: 0.5157 - acc: 0.7350
157/254 [=================>............] - ETA: 0s - loss: 0.5131 - acc: 0.7357
168/254 [==================>...........] - ETA: 0s - loss: 0.5172 - acc: 0.7330
184/254 [====================>.........] - ETA: 0s - loss: 0.5139 - acc: 0.7340
201/254 [======================>.......] - ETA: 0s - loss: 0.5141 - acc: 0.7351
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237/254 [==========================>...] - ETA: 0s - loss: 0.5127 - acc: 0.7373
251/254 [============================>.] - ETA: 0s - loss: 0.5138 - acc: 0.7363
254/254 [==============================] - 1s 4ms/step - loss: 0.5131 - acc: 0.7370
254/254 [==============================] - 1s 5ms/step - loss: 0.5131 - acc: 0.7370 - val_loss: 0.4791 - val_acc: 0.7726
Epoch 3/30
1/254 [..............................] - ETA: 1s - loss: 0.4657 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.5187 - acc: 0.7382
36/254 [===>..........................] - ETA: 0s - loss: 0.5035 - acc: 0.7542
54/254 [=====>........................] - ETA: 0s - loss: 0.5322 - acc: 0.7398
60/254 [======>.......................] - ETA: 0s - loss: 0.5242 - acc: 0.7400
77/254 [========>.....................] - ETA: 0s - loss: 0.5200 - acc: 0.7422
89/254 [=========>....................] - ETA: 0s - loss: 0.5179 - acc: 0.7438
102/254 [===========>..................] - ETA: 0s - loss: 0.5222 - acc: 0.7461
120/254 [=============>................] - ETA: 0s - loss: 0.5208 - acc: 0.7425
138/254 [===============>..............] - ETA: 0s - loss: 0.5186 - acc: 0.7428
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209/254 [=======================>......] - ETA: 0s - loss: 0.5079 - acc: 0.7411
227/254 [=========================>....] - ETA: 0s - loss: 0.5072 - acc: 0.7423
245/254 [===========================>..] - ETA: 0s - loss: 0.5015 - acc: 0.7482
254/254 [==============================] - 1s 3ms/step - loss: 0.5004 - acc: 0.7481
254/254 [==============================] - 1s 4ms/step - loss: 0.5004 - acc: 0.7481 - val_loss: 0.4731 - val_acc: 0.7673
Epoch 4/30
1/254 [..............................] - ETA: 0s - loss: 0.4921 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4804 - acc: 0.7816
32/254 [==>...........................] - ETA: 0s - loss: 0.4693 - acc: 0.7734
45/254 [====>.........................] - ETA: 0s - loss: 0.4821 - acc: 0.7711
57/254 [=====>........................] - ETA: 0s - loss: 0.4929 - acc: 0.7588
73/254 [=======>......................] - ETA: 0s - loss: 0.4862 - acc: 0.7616
91/254 [=========>....................] - ETA: 0s - loss: 0.4821 - acc: 0.7654
109/254 [===========>..................] - ETA: 0s - loss: 0.4824 - acc: 0.7651
125/254 [=============>................] - ETA: 0s - loss: 0.4833 - acc: 0.7624
142/254 [===============>..............] - ETA: 0s - loss: 0.4771 - acc: 0.7637
160/254 [=================>............] - ETA: 0s - loss: 0.4829 - acc: 0.7613
175/254 [===================>..........] - ETA: 0s - loss: 0.4851 - acc: 0.7589
193/254 [=====================>........] - ETA: 0s - loss: 0.4873 - acc: 0.7557
209/254 [=======================>......] - ETA: 0s - loss: 0.4910 - acc: 0.7526
226/254 [=========================>....] - ETA: 0s - loss: 0.4908 - acc: 0.7527
243/254 [===========================>..] - ETA: 0s - loss: 0.4961 - acc: 0.7488
254/254 [==============================] - 1s 3ms/step - loss: 0.4977 - acc: 0.7459
254/254 [==============================] - 1s 4ms/step - loss: 0.4977 - acc: 0.7459 - val_loss: 0.4987 - val_acc: 0.7513
Epoch 5/30
1/254 [..............................] - ETA: 1s - loss: 0.4647 - acc: 0.6500
14/254 [>.............................] - ETA: 0s - loss: 0.4828 - acc: 0.7714
32/254 [==>...........................] - ETA: 0s - loss: 0.4664 - acc: 0.7719
50/254 [====>.........................] - ETA: 0s - loss: 0.4748 - acc: 0.7590
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101/254 [==========>...................] - ETA: 0s - loss: 0.4780 - acc: 0.7564
102/254 [===========>..................] - ETA: 0s - loss: 0.4771 - acc: 0.7569
113/254 [============>.................] - ETA: 0s - loss: 0.4817 - acc: 0.7597
132/254 [==============>...............] - ETA: 0s - loss: 0.4934 - acc: 0.7477
142/254 [===============>..............] - ETA: 0s - loss: 0.4931 - acc: 0.7482
149/254 [================>.............] - ETA: 0s - loss: 0.4903 - acc: 0.7500
167/254 [==================>...........] - ETA: 0s - loss: 0.4913 - acc: 0.7479
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203/254 [======================>.......] - ETA: 0s - loss: 0.4944 - acc: 0.7480
220/254 [========================>.....] - ETA: 0s - loss: 0.4906 - acc: 0.7491
237/254 [==========================>...] - ETA: 0s - loss: 0.4911 - acc: 0.7479
252/254 [============================>.] - ETA: 0s - loss: 0.4876 - acc: 0.7532
254/254 [==============================] - 1s 4ms/step - loss: 0.4871 - acc: 0.7534
254/254 [==============================] - 1s 5ms/step - loss: 0.4871 - acc: 0.7534 - val_loss: 0.4718 - val_acc: 0.7655
Epoch 6/30
1/254 [..............................] - ETA: 1s - loss: 0.2497 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4619 - acc: 0.7583
36/254 [===>..........................] - ETA: 0s - loss: 0.4560 - acc: 0.7458
53/254 [=====>........................] - ETA: 0s - loss: 0.4668 - acc: 0.7472
68/254 [=======>......................] - ETA: 0s - loss: 0.4616 - acc: 0.7574
84/254 [========>.....................] - ETA: 0s - loss: 0.4673 - acc: 0.7571
102/254 [===========>..................] - ETA: 0s - loss: 0.4766 - acc: 0.7564
119/254 [=============>................] - ETA: 0s - loss: 0.4831 - acc: 0.7550
135/254 [==============>...............] - ETA: 0s - loss: 0.4820 - acc: 0.7489
151/254 [================>.............] - ETA: 0s - loss: 0.4804 - acc: 0.7493
169/254 [==================>...........] - ETA: 0s - loss: 0.4755 - acc: 0.7530
185/254 [====================>.........] - ETA: 0s - loss: 0.4875 - acc: 0.7489
203/254 [======================>.......] - ETA: 0s - loss: 0.4805 - acc: 0.7527
219/254 [========================>.....] - ETA: 0s - loss: 0.4820 - acc: 0.7523
237/254 [==========================>...] - ETA: 0s - loss: 0.4817 - acc: 0.7549
254/254 [==============================] - 1s 3ms/step - loss: 0.4873 - acc: 0.7538
254/254 [==============================] - 1s 4ms/step - loss: 0.4873 - acc: 0.7538 - val_loss: 0.4970 - val_acc: 0.7549
Epoch 7/30
1/254 [..............................] - ETA: 0s - loss: 0.8228 - acc: 0.5500
18/254 [=>............................] - ETA: 0s - loss: 0.4862 - acc: 0.7278
35/254 [===>..........................] - ETA: 0s - loss: 0.4751 - acc: 0.7543
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70/254 [=======>......................] - ETA: 0s - loss: 0.4942 - acc: 0.7493
85/254 [=========>....................] - ETA: 0s - loss: 0.4829 - acc: 0.7559
103/254 [===========>..................] - ETA: 0s - loss: 0.4920 - acc: 0.7466
121/254 [=============>................] - ETA: 0s - loss: 0.4902 - acc: 0.7488
138/254 [===============>..............] - ETA: 0s - loss: 0.4892 - acc: 0.7457
156/254 [=================>............] - ETA: 0s - loss: 0.4895 - acc: 0.7455
174/254 [===================>..........] - ETA: 0s - loss: 0.4926 - acc: 0.7468
191/254 [=====================>........] - ETA: 0s - loss: 0.4924 - acc: 0.7437
209/254 [=======================>......] - ETA: 0s - loss: 0.4880 - acc: 0.7476
225/254 [=========================>....] - ETA: 0s - loss: 0.4863 - acc: 0.7487
242/254 [===========================>..] - ETA: 0s - loss: 0.4876 - acc: 0.7483
252/254 [============================>.] - ETA: 0s - loss: 0.4891 - acc: 0.7498
254/254 [==============================] - 1s 3ms/step - loss: 0.4882 - acc: 0.7499
254/254 [==============================] - 1s 5ms/step - loss: 0.4882 - acc: 0.7499 - val_loss: 0.4916 - val_acc: 0.7496
Epoch 8/30
1/254 [..............................] - ETA: 0s - loss: 0.5943 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.5120 - acc: 0.7250
36/254 [===>..........................] - ETA: 0s - loss: 0.5151 - acc: 0.7264
53/254 [=====>........................] - ETA: 0s - loss: 0.5022 - acc: 0.7349
68/254 [=======>......................] - ETA: 0s - loss: 0.4961 - acc: 0.7375
84/254 [========>.....................] - ETA: 0s - loss: 0.4843 - acc: 0.7494
101/254 [==========>...................] - ETA: 0s - loss: 0.4855 - acc: 0.7520
118/254 [============>.................] - ETA: 0s - loss: 0.4773 - acc: 0.7572
135/254 [==============>...............] - ETA: 0s - loss: 0.4841 - acc: 0.7567
152/254 [================>.............] - ETA: 0s - loss: 0.4810 - acc: 0.7595
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188/254 [=====================>........] - ETA: 0s - loss: 0.4834 - acc: 0.7556
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237/254 [==========================>...] - ETA: 0s - loss: 0.4832 - acc: 0.7551
253/254 [============================>.] - ETA: 0s - loss: 0.4832 - acc: 0.7549
254/254 [==============================] - 1s 3ms/step - loss: 0.4831 - acc: 0.7552
254/254 [==============================] - 1s 4ms/step - loss: 0.4831 - acc: 0.7552 - val_loss: 0.4918 - val_acc: 0.7567
Epoch 9/30
1/254 [..............................] - ETA: 0s - loss: 0.6419 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4711 - acc: 0.7694
37/254 [===>..........................] - ETA: 0s - loss: 0.5032 - acc: 0.7541
53/254 [=====>........................] - ETA: 0s - loss: 0.5117 - acc: 0.7406
70/254 [=======>......................] - ETA: 0s - loss: 0.4946 - acc: 0.7479
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102/254 [===========>..................] - ETA: 0s - loss: 0.4935 - acc: 0.7623
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137/254 [===============>..............] - ETA: 0s - loss: 0.4868 - acc: 0.7624
155/254 [=================>............] - ETA: 0s - loss: 0.4909 - acc: 0.7623
170/254 [===================>..........] - ETA: 0s - loss: 0.4920 - acc: 0.7585
177/254 [===================>..........] - ETA: 0s - loss: 0.4909 - acc: 0.7593
190/254 [=====================>........] - ETA: 0s - loss: 0.4910 - acc: 0.7582
208/254 [=======================>......] - ETA: 0s - loss: 0.4889 - acc: 0.7594
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239/254 [===========================>..] - ETA: 0s - loss: 0.4848 - acc: 0.7596
254/254 [==============================] - 1s 3ms/step - loss: 0.4853 - acc: 0.7591
254/254 [==============================] - 1s 4ms/step - loss: 0.4853 - acc: 0.7591 - val_loss: 0.4682 - val_acc: 0.7638
Epoch 10/30
1/254 [..............................] - ETA: 0s - loss: 0.6543 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4374 - acc: 0.7917
36/254 [===>..........................] - ETA: 0s - loss: 0.4750 - acc: 0.7667
53/254 [=====>........................] - ETA: 0s - loss: 0.4864 - acc: 0.7660
70/254 [=======>......................] - ETA: 0s - loss: 0.4732 - acc: 0.7671
87/254 [=========>....................] - ETA: 0s - loss: 0.4688 - acc: 0.7713
103/254 [===========>..................] - ETA: 0s - loss: 0.4723 - acc: 0.7738
121/254 [=============>................] - ETA: 0s - loss: 0.4696 - acc: 0.7719
128/254 [==============>...............] - ETA: 0s - loss: 0.4718 - acc: 0.7695
131/254 [==============>...............] - ETA: 0s - loss: 0.4705 - acc: 0.7710
147/254 [================>.............] - ETA: 0s - loss: 0.4757 - acc: 0.7656
151/254 [================>.............] - ETA: 0s - loss: 0.4756 - acc: 0.7646
168/254 [==================>...........] - ETA: 0s - loss: 0.4777 - acc: 0.7601
180/254 [====================>.........] - ETA: 0s - loss: 0.4735 - acc: 0.7625
197/254 [======================>.......] - ETA: 0s - loss: 0.4754 - acc: 0.7607
215/254 [========================>.....] - ETA: 0s - loss: 0.4776 - acc: 0.7612
231/254 [==========================>...] - ETA: 0s - loss: 0.4800 - acc: 0.7589
249/254 [============================>.] - ETA: 0s - loss: 0.4810 - acc: 0.7592
254/254 [==============================] - 1s 4ms/step - loss: 0.4796 - acc: 0.7597
254/254 [==============================] - 1s 5ms/step - loss: 0.4796 - acc: 0.7597 - val_loss: 0.4719 - val_acc: 0.7638
Epoch 11/30
1/254 [..............................] - ETA: 1s - loss: 0.4001 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.4604 - acc: 0.7853
30/254 [==>...........................] - ETA: 0s - loss: 0.4439 - acc: 0.7883
49/254 [====>.........................] - ETA: 0s - loss: 0.4655 - acc: 0.7735
66/254 [======>.......................] - ETA: 0s - loss: 0.4781 - acc: 0.7606
83/254 [========>.....................] - ETA: 0s - loss: 0.4811 - acc: 0.7633
100/254 [==========>...................] - ETA: 0s - loss: 0.4859 - acc: 0.7650
111/254 [============>.................] - ETA: 0s - loss: 0.4844 - acc: 0.7667
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136/254 [===============>..............] - ETA: 0s - loss: 0.4847 - acc: 0.7636
152/254 [================>.............] - ETA: 0s - loss: 0.4821 - acc: 0.7655
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185/254 [====================>.........] - ETA: 0s - loss: 0.4760 - acc: 0.7668
201/254 [======================>.......] - ETA: 0s - loss: 0.4758 - acc: 0.7679
217/254 [========================>.....] - ETA: 0s - loss: 0.4755 - acc: 0.7689
235/254 [==========================>...] - ETA: 0s - loss: 0.4759 - acc: 0.7666
251/254 [============================>.] - ETA: 0s - loss: 0.4773 - acc: 0.7663
254/254 [==============================] - 1s 3ms/step - loss: 0.4796 - acc: 0.7648
254/254 [==============================] - 1s 4ms/step - loss: 0.4796 - acc: 0.7648 - val_loss: 0.4690 - val_acc: 0.7655
Epoch 12/30
1/254 [..............................] - ETA: 1s - loss: 0.4523 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.5015 - acc: 0.7382
36/254 [===>..........................] - ETA: 0s - loss: 0.4966 - acc: 0.7319
54/254 [=====>........................] - ETA: 0s - loss: 0.4756 - acc: 0.7602
71/254 [=======>......................] - ETA: 0s - loss: 0.4844 - acc: 0.7592
87/254 [=========>....................] - ETA: 0s - loss: 0.4786 - acc: 0.7546
101/254 [==========>...................] - ETA: 0s - loss: 0.4723 - acc: 0.7584
113/254 [============>.................] - ETA: 0s - loss: 0.4765 - acc: 0.7575
129/254 [==============>...............] - ETA: 0s - loss: 0.4806 - acc: 0.7543
146/254 [================>.............] - ETA: 0s - loss: 0.4756 - acc: 0.7545
164/254 [==================>...........] - ETA: 0s - loss: 0.4751 - acc: 0.7564
182/254 [====================>.........] - ETA: 0s - loss: 0.4747 - acc: 0.7585
200/254 [======================>.......] - ETA: 0s - loss: 0.4787 - acc: 0.7560
217/254 [========================>.....] - ETA: 0s - loss: 0.4812 - acc: 0.7548
234/254 [==========================>...] - ETA: 0s - loss: 0.4791 - acc: 0.7566
251/254 [============================>.] - ETA: 0s - loss: 0.4830 - acc: 0.7554
254/254 [==============================] - 1s 3ms/step - loss: 0.4833 - acc: 0.7548
254/254 [==============================] - 1s 4ms/step - loss: 0.4833 - acc: 0.7548 - val_loss: 0.4862 - val_acc: 0.7496
Epoch 13/30
1/254 [..............................] - ETA: 0s - loss: 0.3449 - acc: 0.7500
14/254 [>.............................] - ETA: 1s - loss: 0.4571 - acc: 0.7643
18/254 [=>............................] - ETA: 1s - loss: 0.4490 - acc: 0.7667
32/254 [==>...........................] - ETA: 1s - loss: 0.4343 - acc: 0.7766
44/254 [====>.........................] - ETA: 1s - loss: 0.4488 - acc: 0.7795
61/254 [======>.......................] - ETA: 1s - loss: 0.4581 - acc: 0.7721
71/254 [=======>......................] - ETA: 0s - loss: 0.4586 - acc: 0.7690
88/254 [=========>....................] - ETA: 0s - loss: 0.4541 - acc: 0.7665
106/254 [===========>..................] - ETA: 0s - loss: 0.4748 - acc: 0.7585
122/254 [=============>................] - ETA: 0s - loss: 0.4754 - acc: 0.7594
139/254 [===============>..............] - ETA: 0s - loss: 0.4730 - acc: 0.7601
156/254 [=================>............] - ETA: 0s - loss: 0.4732 - acc: 0.7596
172/254 [===================>..........] - ETA: 0s - loss: 0.4751 - acc: 0.7596
190/254 [=====================>........] - ETA: 0s - loss: 0.4766 - acc: 0.7589
208/254 [=======================>......] - ETA: 0s - loss: 0.4790 - acc: 0.7563
226/254 [=========================>....] - ETA: 0s - loss: 0.4795 - acc: 0.7562
243/254 [===========================>..] - ETA: 0s - loss: 0.4757 - acc: 0.7593
254/254 [==============================] - 1s 4ms/step - loss: 0.4772 - acc: 0.7593
254/254 [==============================] - 1s 5ms/step - loss: 0.4772 - acc: 0.7593 - val_loss: 0.4860 - val_acc: 0.7655
Epoch 14/30
1/254 [..............................] - ETA: 0s - loss: 0.6796 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.5058 - acc: 0.7778
35/254 [===>..........................] - ETA: 0s - loss: 0.4963 - acc: 0.7543
53/254 [=====>........................] - ETA: 0s - loss: 0.4706 - acc: 0.7613
70/254 [=======>......................] - ETA: 0s - loss: 0.4719 - acc: 0.7614
88/254 [=========>....................] - ETA: 0s - loss: 0.4656 - acc: 0.7625
103/254 [===========>..................] - ETA: 0s - loss: 0.4728 - acc: 0.7602
121/254 [=============>................] - ETA: 0s - loss: 0.4737 - acc: 0.7636
126/254 [=============>................] - ETA: 0s - loss: 0.4777 - acc: 0.7627
144/254 [================>.............] - ETA: 0s - loss: 0.4817 - acc: 0.7538
161/254 [==================>...........] - ETA: 0s - loss: 0.4910 - acc: 0.7481
175/254 [===================>..........] - ETA: 0s - loss: 0.4880 - acc: 0.7466
189/254 [=====================>........] - ETA: 0s - loss: 0.4827 - acc: 0.7519
204/254 [=======================>......] - ETA: 0s - loss: 0.4801 - acc: 0.7529
219/254 [========================>.....] - ETA: 0s - loss: 0.4771 - acc: 0.7573
237/254 [==========================>...] - ETA: 0s - loss: 0.4727 - acc: 0.7586
254/254 [==============================] - 1s 3ms/step - loss: 0.4757 - acc: 0.7550
254/254 [==============================] - 1s 4ms/step - loss: 0.4757 - acc: 0.7550 - val_loss: 0.4742 - val_acc: 0.7709
Epoch 15/30
1/254 [..............................] - ETA: 1s - loss: 0.4317 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.4691 - acc: 0.7794
34/254 [===>..........................] - ETA: 0s - loss: 0.4673 - acc: 0.7588
48/254 [====>.........................] - ETA: 0s - loss: 0.4821 - acc: 0.7542
65/254 [======>.......................] - ETA: 0s - loss: 0.4783 - acc: 0.7631
82/254 [========>.....................] - ETA: 0s - loss: 0.4778 - acc: 0.7677
99/254 [==========>...................] - ETA: 0s - loss: 0.4705 - acc: 0.7737
113/254 [============>.................] - ETA: 0s - loss: 0.4732 - acc: 0.7677
131/254 [==============>...............] - ETA: 0s - loss: 0.4760 - acc: 0.7691
149/254 [================>.............] - ETA: 0s - loss: 0.4794 - acc: 0.7681
166/254 [==================>...........] - ETA: 0s - loss: 0.4782 - acc: 0.7642
184/254 [====================>.........] - ETA: 0s - loss: 0.4748 - acc: 0.7644
202/254 [======================>.......] - ETA: 0s - loss: 0.4701 - acc: 0.7663
207/254 [=======================>......] - ETA: 0s - loss: 0.4711 - acc: 0.7657
224/254 [=========================>....] - ETA: 0s - loss: 0.4704 - acc: 0.7654
242/254 [===========================>..] - ETA: 0s - loss: 0.4703 - acc: 0.7634
254/254 [==============================] - 1s 3ms/step - loss: 0.4732 - acc: 0.7613
254/254 [==============================] - 1s 5ms/step - loss: 0.4732 - acc: 0.7613 - val_loss: 0.5033 - val_acc: 0.7478
Epoch 16/30
1/254 [..............................] - ETA: 1s - loss: 0.4107 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4694 - acc: 0.7306
36/254 [===>..........................] - ETA: 0s - loss: 0.4969 - acc: 0.7486
53/254 [=====>........................] - ETA: 0s - loss: 0.4955 - acc: 0.7519
70/254 [=======>......................] - ETA: 0s - loss: 0.4832 - acc: 0.7479
88/254 [=========>....................] - ETA: 0s - loss: 0.4891 - acc: 0.7511
105/254 [===========>..................] - ETA: 0s - loss: 0.4855 - acc: 0.7462
122/254 [=============>................] - ETA: 0s - loss: 0.4784 - acc: 0.7516
140/254 [===============>..............] - ETA: 0s - loss: 0.4779 - acc: 0.7525
158/254 [=================>............] - ETA: 0s - loss: 0.4725 - acc: 0.7573
175/254 [===================>..........] - ETA: 0s - loss: 0.4729 - acc: 0.7566
193/254 [=====================>........] - ETA: 0s - loss: 0.4753 - acc: 0.7570
210/254 [=======================>......] - ETA: 0s - loss: 0.4756 - acc: 0.7540
226/254 [=========================>....] - ETA: 0s - loss: 0.4775 - acc: 0.7544
244/254 [===========================>..] - ETA: 0s - loss: 0.4774 - acc: 0.7529
254/254 [==============================] - 1s 3ms/step - loss: 0.4744 - acc: 0.7544
254/254 [==============================] - 1s 4ms/step - loss: 0.4744 - acc: 0.7544 - val_loss: 0.4698 - val_acc: 0.7744
Epoch 17/30
1/254 [..............................] - ETA: 1s - loss: 0.3562 - acc: 0.9000
17/254 [=>............................] - ETA: 0s - loss: 0.4608 - acc: 0.7853
36/254 [===>..........................] - ETA: 0s - loss: 0.4474 - acc: 0.7889
52/254 [=====>........................] - ETA: 0s - loss: 0.4502 - acc: 0.7788
69/254 [=======>......................] - ETA: 0s - loss: 0.4535 - acc: 0.7746
85/254 [=========>....................] - ETA: 0s - loss: 0.4578 - acc: 0.7729
103/254 [===========>..................] - ETA: 0s - loss: 0.4590 - acc: 0.7738
121/254 [=============>................] - ETA: 0s - loss: 0.4643 - acc: 0.7707
138/254 [===============>..............] - ETA: 0s - loss: 0.4656 - acc: 0.7703
155/254 [=================>............] - ETA: 0s - loss: 0.4628 - acc: 0.7703
172/254 [===================>..........] - ETA: 0s - loss: 0.4639 - acc: 0.7715
189/254 [=====================>........] - ETA: 0s - loss: 0.4647 - acc: 0.7706
200/254 [======================>.......] - ETA: 0s - loss: 0.4666 - acc: 0.7710
217/254 [========================>.....] - ETA: 0s - loss: 0.4702 - acc: 0.7677
235/254 [==========================>...] - ETA: 0s - loss: 0.4683 - acc: 0.7677
252/254 [============================>.] - ETA: 0s - loss: 0.4711 - acc: 0.7655
254/254 [==============================] - 1s 3ms/step - loss: 0.4712 - acc: 0.7656
254/254 [==============================] - 1s 4ms/step - loss: 0.4712 - acc: 0.7656 - val_loss: 0.5074 - val_acc: 0.7407
Epoch 18/30
1/254 [..............................] - ETA: 1s - loss: 0.3506 - acc: 0.8500
16/254 [>.............................] - ETA: 0s - loss: 0.4076 - acc: 0.7969
34/254 [===>..........................] - ETA: 0s - loss: 0.4597 - acc: 0.7809
52/254 [=====>........................] - ETA: 0s - loss: 0.4565 - acc: 0.7750
59/254 [=====>........................] - ETA: 0s - loss: 0.4511 - acc: 0.7780
73/254 [=======>......................] - ETA: 0s - loss: 0.4382 - acc: 0.7795
86/254 [=========>....................] - ETA: 0s - loss: 0.4447 - acc: 0.7738
105/254 [===========>..................] - ETA: 0s - loss: 0.4464 - acc: 0.7733
123/254 [=============>................] - ETA: 0s - loss: 0.4521 - acc: 0.7736
141/254 [===============>..............] - ETA: 0s - loss: 0.4532 - acc: 0.7727
158/254 [=================>............] - ETA: 0s - loss: 0.4565 - acc: 0.7668
174/254 [===================>..........] - ETA: 0s - loss: 0.4558 - acc: 0.7655
191/254 [=====================>........] - ETA: 0s - loss: 0.4629 - acc: 0.7623
209/254 [=======================>......] - ETA: 0s - loss: 0.4616 - acc: 0.7620
226/254 [=========================>....] - ETA: 0s - loss: 0.4659 - acc: 0.7595
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249/254 [============================>.] - ETA: 0s - loss: 0.4706 - acc: 0.7584
254/254 [==============================] - 1s 4ms/step - loss: 0.4701 - acc: 0.7581
254/254 [==============================] - 1s 5ms/step - loss: 0.4701 - acc: 0.7581 - val_loss: 0.4874 - val_acc: 0.7442
Epoch 19/30
1/254 [..............................] - ETA: 1s - loss: 0.3774 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.4600 - acc: 0.7765
35/254 [===>..........................] - ETA: 0s - loss: 0.4894 - acc: 0.7614
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71/254 [=======>......................] - ETA: 0s - loss: 0.4926 - acc: 0.7585
88/254 [=========>....................] - ETA: 0s - loss: 0.4836 - acc: 0.7568
105/254 [===========>..................] - ETA: 0s - loss: 0.4764 - acc: 0.7552
122/254 [=============>................] - ETA: 0s - loss: 0.4812 - acc: 0.7561
139/254 [===============>..............] - ETA: 0s - loss: 0.4779 - acc: 0.7594
156/254 [=================>............] - ETA: 0s - loss: 0.4730 - acc: 0.7615
174/254 [===================>..........] - ETA: 0s - loss: 0.4765 - acc: 0.7578
181/254 [====================>.........] - ETA: 0s - loss: 0.4745 - acc: 0.7588
197/254 [======================>.......] - ETA: 0s - loss: 0.4691 - acc: 0.7640
200/254 [======================>.......] - ETA: 0s - loss: 0.4707 - acc: 0.7632
216/254 [========================>.....] - ETA: 0s - loss: 0.4704 - acc: 0.7648
234/254 [==========================>...] - ETA: 0s - loss: 0.4751 - acc: 0.7603
250/254 [============================>.] - ETA: 0s - loss: 0.4715 - acc: 0.7632
254/254 [==============================] - 1s 3ms/step - loss: 0.4703 - acc: 0.7633
254/254 [==============================] - 1s 4ms/step - loss: 0.4703 - acc: 0.7633 - val_loss: 0.4696 - val_acc: 0.7815
Run completed: runs/2024-05-06T19-43-59Z
Training run 32/52 (flags = list(16, 16, 0.01, 50, 50, "sigmoid", "sigmoid", 0.2, 0.2))
Using run directory runs/2024-05-06T19-44-42Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/102 [..............................] - ETA: 2:33 - loss: 0.7907 - acc: 0.2200
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0340s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0340s). Check your callbacks.
17/102 [====>.........................] - ETA: 0s - loss: 0.7670 - acc: 0.2635
33/102 [========>.....................] - ETA: 0s - loss: 0.7472 - acc: 0.2867
39/102 [==========>...................] - ETA: 0s - loss: 0.7454 - acc: 0.2964
55/102 [===============>..............] - ETA: 0s - loss: 0.7320 - acc: 0.3309
71/102 [===================>..........] - ETA: 0s - loss: 0.7210 - acc: 0.3693
78/102 [=====================>........] - ETA: 0s - loss: 0.7177 - acc: 0.3846
92/102 [==========================>...] - ETA: 0s - loss: 0.7118 - acc: 0.4137
102/102 [==============================] - 2s 4ms/step - loss: 0.7110 - acc: 0.4278
102/102 [==============================] - 3s 13ms/step - loss: 0.7110 - acc: 0.4278 - val_loss: 0.6781 - val_acc: 0.5968
Epoch 2/50
1/102 [..............................] - ETA: 0s - loss: 0.7821 - acc: 0.6600
6/102 [>.............................] - ETA: 1s - loss: 0.6952 - acc: 0.5600
24/102 [======>.......................] - ETA: 0s - loss: 0.6750 - acc: 0.5458
42/102 [===========>..................] - ETA: 0s - loss: 0.6757 - acc: 0.5343
53/102 [==============>...............] - ETA: 0s - loss: 0.6707 - acc: 0.5430
71/102 [===================>..........] - ETA: 0s - loss: 0.6590 - acc: 0.5628
84/102 [=======================>......] - ETA: 0s - loss: 0.6561 - acc: 0.5698
95/102 [==========================>...] - ETA: 0s - loss: 0.6481 - acc: 0.5798
102/102 [==============================] - 0s 5ms/step - loss: 0.6440 - acc: 0.5843
102/102 [==============================] - 1s 7ms/step - loss: 0.6440 - acc: 0.5843 - val_loss: 0.6050 - val_acc: 0.7478
Epoch 3/50
1/102 [..............................] - ETA: 0s - loss: 0.6608 - acc: 0.6200
18/102 [====>.........................] - ETA: 0s - loss: 0.5995 - acc: 0.6789
34/102 [=========>....................] - ETA: 0s - loss: 0.6089 - acc: 0.6800
42/102 [===========>..................] - ETA: 0s - loss: 0.6044 - acc: 0.6724
59/102 [================>.............] - ETA: 0s - loss: 0.5986 - acc: 0.6790
71/102 [===================>..........] - ETA: 0s - loss: 0.6015 - acc: 0.6828
87/102 [========================>.....] - ETA: 0s - loss: 0.5974 - acc: 0.6848
102/102 [==============================] - 0s 4ms/step - loss: 0.5914 - acc: 0.6874
102/102 [==============================] - 1s 9ms/step - loss: 0.5914 - acc: 0.6874 - val_loss: 0.5595 - val_acc: 0.7531
Epoch 4/50
1/102 [..............................] - ETA: 0s - loss: 0.5663 - acc: 0.7200
15/102 [===>..........................] - ETA: 0s - loss: 0.5708 - acc: 0.7240
32/102 [========>.....................] - ETA: 0s - loss: 0.5798 - acc: 0.7163
48/102 [=============>................] - ETA: 0s - loss: 0.5655 - acc: 0.7154
65/102 [==================>...........] - ETA: 0s - loss: 0.5639 - acc: 0.7194
81/102 [======================>.......] - ETA: 0s - loss: 0.5563 - acc: 0.7212
100/102 [============================>.] - ETA: 0s - loss: 0.5518 - acc: 0.7226
102/102 [==============================] - 0s 3ms/step - loss: 0.5505 - acc: 0.7234
102/102 [==============================] - 1s 6ms/step - loss: 0.5505 - acc: 0.7234 - val_loss: 0.5103 - val_acc: 0.7673
Epoch 5/50
1/102 [..............................] - ETA: 1s - loss: 0.6071 - acc: 0.7000
7/102 [=>............................] - ETA: 0s - loss: 0.5825 - acc: 0.7286
24/102 [======>.......................] - ETA: 0s - loss: 0.5346 - acc: 0.7367
42/102 [===========>..................] - ETA: 0s - loss: 0.5420 - acc: 0.7348
52/102 [==============>...............] - ETA: 0s - loss: 0.5427 - acc: 0.7365
71/102 [===================>..........] - ETA: 0s - loss: 0.5425 - acc: 0.7315
87/102 [========================>.....] - ETA: 0s - loss: 0.5409 - acc: 0.7349
97/102 [===========================>..] - ETA: 0s - loss: 0.5353 - acc: 0.7375
102/102 [==============================] - 0s 4ms/step - loss: 0.5357 - acc: 0.7347
102/102 [==============================] - 1s 8ms/step - loss: 0.5357 - acc: 0.7347 - val_loss: 0.5025 - val_acc: 0.7744
Epoch 6/50
1/102 [..............................] - ETA: 0s - loss: 0.5203 - acc: 0.7600
19/102 [====>.........................] - ETA: 0s - loss: 0.5193 - acc: 0.7684
38/102 [==========>...................] - ETA: 0s - loss: 0.5089 - acc: 0.7637
53/102 [==============>...............] - ETA: 0s - loss: 0.5099 - acc: 0.7623
66/102 [==================>...........] - ETA: 0s - loss: 0.5166 - acc: 0.7542
81/102 [======================>.......] - ETA: 0s - loss: 0.5181 - acc: 0.7499
94/102 [==========================>...] - ETA: 0s - loss: 0.5190 - acc: 0.7511
102/102 [==============================] - 0s 4ms/step - loss: 0.5226 - acc: 0.7481
102/102 [==============================] - 1s 7ms/step - loss: 0.5226 - acc: 0.7481 - val_loss: 0.4992 - val_acc: 0.7726
Epoch 7/50
1/102 [..............................] - ETA: 0s - loss: 0.5289 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5264 - acc: 0.7433
37/102 [=========>....................] - ETA: 0s - loss: 0.5284 - acc: 0.7449
55/102 [===============>..............] - ETA: 0s - loss: 0.5296 - acc: 0.7433
74/102 [====================>.........] - ETA: 0s - loss: 0.5254 - acc: 0.7419
89/102 [=========================>....] - ETA: 0s - loss: 0.5213 - acc: 0.7443
102/102 [==============================] - 0s 3ms/step - loss: 0.5202 - acc: 0.7469
102/102 [==============================] - 1s 5ms/step - loss: 0.5202 - acc: 0.7469 - val_loss: 0.4946 - val_acc: 0.7655
Epoch 8/50
1/102 [..............................] - ETA: 0s - loss: 0.4516 - acc: 0.8200
5/102 [>.............................] - ETA: 1s - loss: 0.5499 - acc: 0.7520
16/102 [===>..........................] - ETA: 0s - loss: 0.5587 - acc: 0.7262
25/102 [======>.......................] - ETA: 0s - loss: 0.5586 - acc: 0.7264
44/102 [===========>..................] - ETA: 0s - loss: 0.5389 - acc: 0.7332
63/102 [=================>............] - ETA: 0s - loss: 0.5296 - acc: 0.7394
81/102 [======================>.......] - ETA: 0s - loss: 0.5244 - acc: 0.7420
90/102 [=========================>....] - ETA: 0s - loss: 0.5223 - acc: 0.7416
98/102 [===========================>..] - ETA: 0s - loss: 0.5197 - acc: 0.7414
102/102 [==============================] - 0s 5ms/step - loss: 0.5171 - acc: 0.7428
102/102 [==============================] - 1s 8ms/step - loss: 0.5171 - acc: 0.7428 - val_loss: 0.4844 - val_acc: 0.7673
Epoch 9/50
1/102 [..............................] - ETA: 0s - loss: 0.3921 - acc: 0.8000
15/102 [===>..........................] - ETA: 0s - loss: 0.5210 - acc: 0.7427
31/102 [========>.....................] - ETA: 0s - loss: 0.4902 - acc: 0.7684
41/102 [===========>..................] - ETA: 0s - loss: 0.4967 - acc: 0.7571
48/102 [=============>................] - ETA: 0s - loss: 0.5010 - acc: 0.7550
57/102 [===============>..............] - ETA: 0s - loss: 0.5048 - acc: 0.7512
67/102 [==================>...........] - ETA: 0s - loss: 0.5000 - acc: 0.7528
83/102 [=======================>......] - ETA: 0s - loss: 0.5031 - acc: 0.7516
99/102 [============================>.] - ETA: 0s - loss: 0.5080 - acc: 0.7475
102/102 [==============================] - 0s 5ms/step - loss: 0.5088 - acc: 0.7479
102/102 [==============================] - 1s 8ms/step - loss: 0.5088 - acc: 0.7479 - val_loss: 0.5011 - val_acc: 0.7638
Epoch 10/50
1/102 [..............................] - ETA: 0s - loss: 0.4595 - acc: 0.7200
19/102 [====>.........................] - ETA: 0s - loss: 0.5134 - acc: 0.7484
38/102 [==========>...................] - ETA: 0s - loss: 0.5134 - acc: 0.7442
57/102 [===============>..............] - ETA: 0s - loss: 0.5156 - acc: 0.7456
74/102 [====================>.........] - ETA: 0s - loss: 0.5163 - acc: 0.7438
90/102 [=========================>....] - ETA: 0s - loss: 0.5152 - acc: 0.7416
102/102 [==============================] - 0s 3ms/step - loss: 0.5124 - acc: 0.7443
102/102 [==============================] - 1s 7ms/step - loss: 0.5124 - acc: 0.7443 - val_loss: 0.4802 - val_acc: 0.7709
Epoch 11/50
1/102 [..............................] - ETA: 0s - loss: 0.4517 - acc: 0.7200
19/102 [====>.........................] - ETA: 0s - loss: 0.5364 - acc: 0.7516
38/102 [==========>...................] - ETA: 0s - loss: 0.5195 - acc: 0.7605
55/102 [===============>..............] - ETA: 0s - loss: 0.5074 - acc: 0.7618
73/102 [====================>.........] - ETA: 0s - loss: 0.5087 - acc: 0.7564
90/102 [=========================>....] - ETA: 0s - loss: 0.5108 - acc: 0.7513
102/102 [==============================] - 0s 3ms/step - loss: 0.5110 - acc: 0.7495
102/102 [==============================] - 1s 6ms/step - loss: 0.5110 - acc: 0.7495 - val_loss: 0.4920 - val_acc: 0.7620
Epoch 12/50
1/102 [..............................] - ETA: 0s - loss: 0.4760 - acc: 0.7600
16/102 [===>..........................] - ETA: 0s - loss: 0.5204 - acc: 0.7538
24/102 [======>.......................] - ETA: 0s - loss: 0.5207 - acc: 0.7500
37/102 [=========>....................] - ETA: 0s - loss: 0.5161 - acc: 0.7481
41/102 [===========>..................] - ETA: 0s - loss: 0.5186 - acc: 0.7488
58/102 [================>.............] - ETA: 0s - loss: 0.5157 - acc: 0.7448
67/102 [==================>...........] - ETA: 0s - loss: 0.5123 - acc: 0.7427
82/102 [=======================>......] - ETA: 0s - loss: 0.5047 - acc: 0.7471
98/102 [===========================>..] - ETA: 0s - loss: 0.5070 - acc: 0.7473
102/102 [==============================] - 0s 5ms/step - loss: 0.5047 - acc: 0.7487
102/102 [==============================] - 1s 8ms/step - loss: 0.5047 - acc: 0.7487 - val_loss: 0.4914 - val_acc: 0.7620
Epoch 13/50
1/102 [..............................] - ETA: 0s - loss: 0.5047 - acc: 0.7800
19/102 [====>.........................] - ETA: 0s - loss: 0.5022 - acc: 0.7432
37/102 [=========>....................] - ETA: 0s - loss: 0.5059 - acc: 0.7524
54/102 [==============>...............] - ETA: 0s - loss: 0.5149 - acc: 0.7385
63/102 [=================>............] - ETA: 0s - loss: 0.5149 - acc: 0.7375
81/102 [======================>.......] - ETA: 0s - loss: 0.5147 - acc: 0.7393
88/102 [========================>.....] - ETA: 0s - loss: 0.5125 - acc: 0.7418
101/102 [============================>.] - ETA: 0s - loss: 0.5100 - acc: 0.7438
102/102 [==============================] - 0s 4ms/step - loss: 0.5095 - acc: 0.7437
102/102 [==============================] - 1s 8ms/step - loss: 0.5095 - acc: 0.7437 - val_loss: 0.4924 - val_acc: 0.7620
Epoch 14/50
1/102 [..............................] - ETA: 0s - loss: 0.7086 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.5231 - acc: 0.7541
34/102 [=========>....................] - ETA: 0s - loss: 0.5110 - acc: 0.7541
52/102 [==============>...............] - ETA: 0s - loss: 0.5099 - acc: 0.7523
70/102 [===================>..........] - ETA: 0s - loss: 0.5084 - acc: 0.7566
86/102 [========================>.....] - ETA: 0s - loss: 0.5055 - acc: 0.7535
102/102 [==============================] - 0s 3ms/step - loss: 0.5024 - acc: 0.7560
102/102 [==============================] - 1s 6ms/step - loss: 0.5024 - acc: 0.7560 - val_loss: 0.4871 - val_acc: 0.7655
Epoch 15/50
1/102 [..............................] - ETA: 0s - loss: 0.4378 - acc: 0.7600
13/102 [==>...........................] - ETA: 0s - loss: 0.4925 - acc: 0.7554
19/102 [====>.........................] - ETA: 0s - loss: 0.4808 - acc: 0.7653
32/102 [========>.....................] - ETA: 0s - loss: 0.4853 - acc: 0.7613
38/102 [==========>...................] - ETA: 0s - loss: 0.4895 - acc: 0.7589
52/102 [==============>...............] - ETA: 0s - loss: 0.4883 - acc: 0.7635
57/102 [===============>..............] - ETA: 0s - loss: 0.4894 - acc: 0.7646
66/102 [==================>...........] - ETA: 0s - loss: 0.4933 - acc: 0.7594
85/102 [========================>.....] - ETA: 0s - loss: 0.4970 - acc: 0.7565
102/102 [==============================] - 0s 5ms/step - loss: 0.5007 - acc: 0.7571
102/102 [==============================] - 1s 8ms/step - loss: 0.5007 - acc: 0.7571 - val_loss: 0.4908 - val_acc: 0.7567
Epoch 16/50
1/102 [..............................] - ETA: 0s - loss: 0.4790 - acc: 0.8000
19/102 [====>.........................] - ETA: 0s - loss: 0.5183 - acc: 0.7505
36/102 [=========>....................] - ETA: 0s - loss: 0.5200 - acc: 0.7550
55/102 [===============>..............] - ETA: 0s - loss: 0.5180 - acc: 0.7469
73/102 [====================>.........] - ETA: 0s - loss: 0.5100 - acc: 0.7482
85/102 [========================>.....] - ETA: 0s - loss: 0.5073 - acc: 0.7449
102/102 [==============================] - 0s 3ms/step - loss: 0.5013 - acc: 0.7485
102/102 [==============================] - 1s 6ms/step - loss: 0.5013 - acc: 0.7485 - val_loss: 0.4763 - val_acc: 0.7691
Epoch 17/50
1/102 [..............................] - ETA: 0s - loss: 0.3972 - acc: 0.7600
19/102 [====>.........................] - ETA: 0s - loss: 0.4917 - acc: 0.7474
34/102 [=========>....................] - ETA: 0s - loss: 0.4900 - acc: 0.7553
52/102 [==============>...............] - ETA: 0s - loss: 0.5022 - acc: 0.7542
69/102 [===================>..........] - ETA: 0s - loss: 0.4992 - acc: 0.7539
86/102 [========================>.....] - ETA: 0s - loss: 0.5061 - acc: 0.7530
102/102 [==============================] - 0s 3ms/step - loss: 0.5010 - acc: 0.7544
102/102 [==============================] - 1s 7ms/step - loss: 0.5010 - acc: 0.7544 - val_loss: 0.4850 - val_acc: 0.7584
Epoch 18/50
1/102 [..............................] - ETA: 0s - loss: 0.5688 - acc: 0.5800
16/102 [===>..........................] - ETA: 0s - loss: 0.4724 - acc: 0.7688
34/102 [=========>....................] - ETA: 0s - loss: 0.4758 - acc: 0.7641
52/102 [==============>...............] - ETA: 0s - loss: 0.4863 - acc: 0.7619
71/102 [===================>..........] - ETA: 0s - loss: 0.5019 - acc: 0.7465
90/102 [=========================>....] - ETA: 0s - loss: 0.5050 - acc: 0.7493
102/102 [==============================] - 0s 3ms/step - loss: 0.4987 - acc: 0.7524
102/102 [==============================] - 1s 7ms/step - loss: 0.4987 - acc: 0.7524 - val_loss: 0.4870 - val_acc: 0.7549
Epoch 19/50
1/102 [..............................] - ETA: 0s - loss: 0.4959 - acc: 0.7400
19/102 [====>.........................] - ETA: 0s - loss: 0.5316 - acc: 0.7368
33/102 [========>.....................] - ETA: 0s - loss: 0.5054 - acc: 0.7485
37/102 [=========>....................] - ETA: 0s - loss: 0.5089 - acc: 0.7514
54/102 [==============>...............] - ETA: 0s - loss: 0.5124 - acc: 0.7511
72/102 [====================>.........] - ETA: 0s - loss: 0.5057 - acc: 0.7525
87/102 [========================>.....] - ETA: 0s - loss: 0.5016 - acc: 0.7526
102/102 [==============================] - 0s 4ms/step - loss: 0.4970 - acc: 0.7528
102/102 [==============================] - 1s 6ms/step - loss: 0.4970 - acc: 0.7528 - val_loss: 0.4865 - val_acc: 0.7549
Epoch 20/50
1/102 [..............................] - ETA: 0s - loss: 0.4900 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5023 - acc: 0.7478
37/102 [=========>....................] - ETA: 0s - loss: 0.5004 - acc: 0.7535
56/102 [===============>..............] - ETA: 0s - loss: 0.5048 - acc: 0.7461
74/102 [====================>.........] - ETA: 0s - loss: 0.4999 - acc: 0.7546
92/102 [==========================>...] - ETA: 0s - loss: 0.5002 - acc: 0.7504
102/102 [==============================] - 0s 3ms/step - loss: 0.4979 - acc: 0.7536
102/102 [==============================] - 1s 5ms/step - loss: 0.4979 - acc: 0.7536 - val_loss: 0.4900 - val_acc: 0.7584
Epoch 21/50
1/102 [..............................] - ETA: 0s - loss: 0.6024 - acc: 0.6800
16/102 [===>..........................] - ETA: 0s - loss: 0.5533 - acc: 0.7063
31/102 [========>.....................] - ETA: 0s - loss: 0.5286 - acc: 0.7323
43/102 [===========>..................] - ETA: 0s - loss: 0.5206 - acc: 0.7353
58/102 [================>.............] - ETA: 0s - loss: 0.5144 - acc: 0.7397
67/102 [==================>...........] - ETA: 0s - loss: 0.5101 - acc: 0.7409
86/102 [========================>.....] - ETA: 0s - loss: 0.5001 - acc: 0.7472
101/102 [============================>.] - ETA: 0s - loss: 0.4982 - acc: 0.7477
102/102 [==============================] - 0s 4ms/step - loss: 0.4985 - acc: 0.7473
102/102 [==============================] - 1s 7ms/step - loss: 0.4985 - acc: 0.7473 - val_loss: 0.4844 - val_acc: 0.7549
Epoch 22/50
1/102 [..............................] - ETA: 0s - loss: 0.4356 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.4469 - acc: 0.7767
37/102 [=========>....................] - ETA: 0s - loss: 0.4896 - acc: 0.7616
56/102 [===============>..............] - ETA: 0s - loss: 0.4936 - acc: 0.7518
74/102 [====================>.........] - ETA: 0s - loss: 0.4904 - acc: 0.7532
93/102 [==========================>...] - ETA: 0s - loss: 0.4935 - acc: 0.7540
102/102 [==============================] - 0s 3ms/step - loss: 0.4968 - acc: 0.7526
102/102 [==============================] - 1s 6ms/step - loss: 0.4968 - acc: 0.7526 - val_loss: 0.4863 - val_acc: 0.7549
Epoch 23/50
1/102 [..............................] - ETA: 0s - loss: 0.3514 - acc: 0.8600
15/102 [===>..........................] - ETA: 0s - loss: 0.4547 - acc: 0.7867
34/102 [=========>....................] - ETA: 0s - loss: 0.4987 - acc: 0.7447
53/102 [==============>...............] - ETA: 0s - loss: 0.4858 - acc: 0.7540
71/102 [===================>..........] - ETA: 0s - loss: 0.4884 - acc: 0.7577
88/102 [========================>.....] - ETA: 0s - loss: 0.4868 - acc: 0.7598
102/102 [==============================] - 0s 3ms/step - loss: 0.4932 - acc: 0.7552
102/102 [==============================] - 1s 5ms/step - loss: 0.4932 - acc: 0.7552 - val_loss: 0.4943 - val_acc: 0.7567
Epoch 24/50
1/102 [..............................] - ETA: 0s - loss: 0.7465 - acc: 0.6600
18/102 [====>.........................] - ETA: 0s - loss: 0.5221 - acc: 0.7289
32/102 [========>.....................] - ETA: 0s - loss: 0.5030 - acc: 0.7331
40/102 [==========>...................] - ETA: 0s - loss: 0.4915 - acc: 0.7390
58/102 [================>.............] - ETA: 0s - loss: 0.4846 - acc: 0.7486
68/102 [===================>..........] - ETA: 0s - loss: 0.4901 - acc: 0.7488
86/102 [========================>.....] - ETA: 0s - loss: 0.4933 - acc: 0.7465
102/102 [==============================] - 0s 4ms/step - loss: 0.4932 - acc: 0.7487
102/102 [==============================] - 1s 8ms/step - loss: 0.4932 - acc: 0.7487 - val_loss: 0.4889 - val_acc: 0.7567
Epoch 25/50
1/102 [..............................] - ETA: 0s - loss: 0.4121 - acc: 0.7400
19/102 [====>.........................] - ETA: 0s - loss: 0.5257 - acc: 0.7253
39/102 [==========>...................] - ETA: 0s - loss: 0.4916 - acc: 0.7518
58/102 [================>.............] - ETA: 0s - loss: 0.4927 - acc: 0.7576
77/102 [=====================>........] - ETA: 0s - loss: 0.4943 - acc: 0.7551
92/102 [==========================>...] - ETA: 0s - loss: 0.4913 - acc: 0.7554
102/102 [==============================] - 0s 3ms/step - loss: 0.4980 - acc: 0.7518
102/102 [==============================] - 1s 6ms/step - loss: 0.4980 - acc: 0.7518 - val_loss: 0.4905 - val_acc: 0.7567
Epoch 26/50
1/102 [..............................] - ETA: 0s - loss: 0.4443 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.5061 - acc: 0.7300
37/102 [=========>....................] - ETA: 0s - loss: 0.5082 - acc: 0.7384
55/102 [===============>..............] - ETA: 0s - loss: 0.4918 - acc: 0.7465
74/102 [====================>.........] - ETA: 0s - loss: 0.4901 - acc: 0.7489
91/102 [=========================>....] - ETA: 0s - loss: 0.4931 - acc: 0.7501
102/102 [==============================] - 0s 3ms/step - loss: 0.4948 - acc: 0.7473
102/102 [==============================] - 1s 5ms/step - loss: 0.4948 - acc: 0.7473 - val_loss: 0.4881 - val_acc: 0.7584
Run completed: runs/2024-05-06T19-44-42Z
Training run 33/52 (flags = list(16, 32, 0.01, 20, 50, "relu", "relu", 0.2, 0.2))
Using run directory runs/2024-05-06T19-45-03Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:07 - loss: 0.8660 - acc: 0.7000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0287s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0287s). Check your callbacks.
17/254 [=>............................] - ETA: 0s - loss: 0.6678 - acc: 0.7176
37/254 [===>..........................] - ETA: 0s - loss: 0.6542 - acc: 0.7149
57/254 [=====>........................] - ETA: 0s - loss: 0.6429 - acc: 0.6956
71/254 [=======>......................] - ETA: 0s - loss: 0.6396 - acc: 0.6986
83/254 [========>.....................] - ETA: 0s - loss: 0.6309 - acc: 0.6934
101/254 [==========>...................] - ETA: 0s - loss: 0.6109 - acc: 0.6921
115/254 [============>.................] - ETA: 0s - loss: 0.6052 - acc: 0.6943
132/254 [==============>...............] - ETA: 0s - loss: 0.5980 - acc: 0.6989
144/254 [================>.............] - ETA: 0s - loss: 0.5954 - acc: 0.7017
163/254 [==================>...........] - ETA: 0s - loss: 0.5902 - acc: 0.7028
182/254 [====================>.........] - ETA: 0s - loss: 0.5907 - acc: 0.7016
200/254 [======================>.......] - ETA: 0s - loss: 0.5848 - acc: 0.7045
219/254 [========================>.....] - ETA: 0s - loss: 0.5832 - acc: 0.7039
238/254 [===========================>..] - ETA: 0s - loss: 0.5849 - acc: 0.7027
254/254 [==============================] - 2s 3ms/step - loss: 0.5817 - acc: 0.7041
254/254 [==============================] - 3s 6ms/step - loss: 0.5817 - acc: 0.7041 - val_loss: 0.5245 - val_acc: 0.7371
Epoch 2/50
1/254 [..............................] - ETA: 0s - loss: 0.4693 - acc: 0.7000
13/254 [>.............................] - ETA: 1s - loss: 0.5161 - acc: 0.7346
32/254 [==>...........................] - ETA: 0s - loss: 0.5301 - acc: 0.7344
48/254 [====>.........................] - ETA: 0s - loss: 0.5221 - acc: 0.7365
64/254 [======>.......................] - ETA: 0s - loss: 0.5199 - acc: 0.7398
76/254 [=======>......................] - ETA: 0s - loss: 0.5160 - acc: 0.7401
89/254 [=========>....................] - ETA: 0s - loss: 0.5140 - acc: 0.7360
97/254 [==========>...................] - ETA: 0s - loss: 0.5116 - acc: 0.7381
114/254 [============>.................] - ETA: 0s - loss: 0.5189 - acc: 0.7325
131/254 [==============>...............] - ETA: 0s - loss: 0.5125 - acc: 0.7340
148/254 [================>.............] - ETA: 0s - loss: 0.5193 - acc: 0.7328
153/254 [=================>............] - ETA: 0s - loss: 0.5174 - acc: 0.7333
163/254 [==================>...........] - ETA: 0s - loss: 0.5161 - acc: 0.7353
181/254 [====================>.........] - ETA: 0s - loss: 0.5119 - acc: 0.7345
200/254 [======================>.......] - ETA: 0s - loss: 0.5077 - acc: 0.7383
220/254 [========================>.....] - ETA: 0s - loss: 0.5101 - acc: 0.7391
237/254 [==========================>...] - ETA: 0s - loss: 0.5099 - acc: 0.7407
254/254 [==============================] - 1s 4ms/step - loss: 0.5124 - acc: 0.7410
254/254 [==============================] - 1s 5ms/step - loss: 0.5124 - acc: 0.7410 - val_loss: 0.5052 - val_acc: 0.7478
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.5035 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.5132 - acc: 0.7184
39/254 [===>..........................] - ETA: 0s - loss: 0.4587 - acc: 0.7564
58/254 [=====>........................] - ETA: 0s - loss: 0.4870 - acc: 0.7552
69/254 [=======>......................] - ETA: 0s - loss: 0.4872 - acc: 0.7551
75/254 [=======>......................] - ETA: 0s - loss: 0.4964 - acc: 0.7533
90/254 [=========>....................] - ETA: 0s - loss: 0.5030 - acc: 0.7444
104/254 [===========>..................] - ETA: 0s - loss: 0.5024 - acc: 0.7413
121/254 [=============>................] - ETA: 0s - loss: 0.5071 - acc: 0.7413
136/254 [===============>..............] - ETA: 0s - loss: 0.5106 - acc: 0.7379
155/254 [=================>............] - ETA: 0s - loss: 0.5105 - acc: 0.7355
172/254 [===================>..........] - ETA: 0s - loss: 0.5135 - acc: 0.7334
188/254 [=====================>........] - ETA: 0s - loss: 0.5104 - acc: 0.7364
206/254 [=======================>......] - ETA: 0s - loss: 0.5065 - acc: 0.7391
225/254 [=========================>....] - ETA: 0s - loss: 0.5029 - acc: 0.7411
245/254 [===========================>..] - ETA: 0s - loss: 0.5091 - acc: 0.7394
254/254 [==============================] - 1s 3ms/step - loss: 0.5089 - acc: 0.7390
254/254 [==============================] - 1s 4ms/step - loss: 0.5089 - acc: 0.7390 - val_loss: 0.4946 - val_acc: 0.7496
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.6197 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.5836 - acc: 0.6974
30/254 [==>...........................] - ETA: 0s - loss: 0.5487 - acc: 0.7217
43/254 [====>.........................] - ETA: 0s - loss: 0.5326 - acc: 0.7209
56/254 [=====>........................] - ETA: 0s - loss: 0.5176 - acc: 0.7259
61/254 [======>.......................] - ETA: 0s - loss: 0.5073 - acc: 0.7328
78/254 [========>.....................] - ETA: 0s - loss: 0.4975 - acc: 0.7378
97/254 [==========>...................] - ETA: 0s - loss: 0.4985 - acc: 0.7320
114/254 [============>.................] - ETA: 0s - loss: 0.5017 - acc: 0.7386
134/254 [==============>...............] - ETA: 0s - loss: 0.5019 - acc: 0.7407
153/254 [=================>............] - ETA: 0s - loss: 0.4992 - acc: 0.7405
169/254 [==================>...........] - ETA: 0s - loss: 0.4961 - acc: 0.7450
188/254 [=====================>........] - ETA: 0s - loss: 0.4956 - acc: 0.7463
206/254 [=======================>......] - ETA: 0s - loss: 0.4963 - acc: 0.7485
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242/254 [===========================>..] - ETA: 0s - loss: 0.4984 - acc: 0.7481
254/254 [==============================] - 1s 3ms/step - loss: 0.4972 - acc: 0.7473
254/254 [==============================] - 1s 4ms/step - loss: 0.4972 - acc: 0.7473 - val_loss: 0.5035 - val_acc: 0.7407
Epoch 5/50
1/254 [..............................] - ETA: 1s - loss: 0.5314 - acc: 0.8500
11/254 [>.............................] - ETA: 2s - loss: 0.4490 - acc: 0.8000
29/254 [==>...........................] - ETA: 1s - loss: 0.4733 - acc: 0.7569
47/254 [====>.........................] - ETA: 1s - loss: 0.4762 - acc: 0.7457
54/254 [=====>........................] - ETA: 1s - loss: 0.4766 - acc: 0.7463
71/254 [=======>......................] - ETA: 0s - loss: 0.4853 - acc: 0.7535
89/254 [=========>....................] - ETA: 0s - loss: 0.4844 - acc: 0.7522
107/254 [===========>..................] - ETA: 0s - loss: 0.4837 - acc: 0.7514
124/254 [=============>................] - ETA: 0s - loss: 0.4769 - acc: 0.7488
142/254 [===============>..............] - ETA: 0s - loss: 0.4777 - acc: 0.7475
160/254 [=================>............] - ETA: 0s - loss: 0.4852 - acc: 0.7466
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212/254 [========================>.....] - ETA: 0s - loss: 0.4876 - acc: 0.7441
231/254 [==========================>...] - ETA: 0s - loss: 0.4863 - acc: 0.7470
248/254 [============================>.] - ETA: 0s - loss: 0.4865 - acc: 0.7464
254/254 [==============================] - 1s 3ms/step - loss: 0.4887 - acc: 0.7439
254/254 [==============================] - 1s 5ms/step - loss: 0.4887 - acc: 0.7439 - val_loss: 0.4927 - val_acc: 0.7673
Epoch 6/50
1/254 [..............................] - ETA: 0s - loss: 0.5204 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.5799 - acc: 0.6765
36/254 [===>..........................] - ETA: 0s - loss: 0.5344 - acc: 0.7083
53/254 [=====>........................] - ETA: 0s - loss: 0.5211 - acc: 0.7179
70/254 [=======>......................] - ETA: 0s - loss: 0.5133 - acc: 0.7293
87/254 [=========>....................] - ETA: 0s - loss: 0.5108 - acc: 0.7385
104/254 [===========>..................] - ETA: 0s - loss: 0.5014 - acc: 0.7433
122/254 [=============>................] - ETA: 0s - loss: 0.5010 - acc: 0.7443
139/254 [===============>..............] - ETA: 0s - loss: 0.4913 - acc: 0.7475
159/254 [=================>............] - ETA: 0s - loss: 0.4901 - acc: 0.7494
178/254 [====================>.........] - ETA: 0s - loss: 0.4970 - acc: 0.7514
195/254 [======================>.......] - ETA: 0s - loss: 0.4958 - acc: 0.7521
212/254 [========================>.....] - ETA: 0s - loss: 0.4955 - acc: 0.7502
232/254 [==========================>...] - ETA: 0s - loss: 0.4953 - acc: 0.7481
251/254 [============================>.] - ETA: 0s - loss: 0.4946 - acc: 0.7482
254/254 [==============================] - 1s 3ms/step - loss: 0.4940 - acc: 0.7491
254/254 [==============================] - 1s 4ms/step - loss: 0.4940 - acc: 0.7491 - val_loss: 0.4744 - val_acc: 0.7762
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.4413 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4616 - acc: 0.7789
38/254 [===>..........................] - ETA: 0s - loss: 0.4872 - acc: 0.7592
56/254 [=====>........................] - ETA: 0s - loss: 0.4730 - acc: 0.7652
74/254 [=======>......................] - ETA: 0s - loss: 0.4823 - acc: 0.7486
92/254 [=========>....................] - ETA: 0s - loss: 0.4851 - acc: 0.7516
111/254 [============>.................] - ETA: 0s - loss: 0.4905 - acc: 0.7514
130/254 [==============>...............] - ETA: 0s - loss: 0.4945 - acc: 0.7515
149/254 [================>.............] - ETA: 0s - loss: 0.4911 - acc: 0.7534
168/254 [==================>...........] - ETA: 0s - loss: 0.4947 - acc: 0.7491
186/254 [====================>.........] - ETA: 0s - loss: 0.4925 - acc: 0.7503
205/254 [=======================>......] - ETA: 0s - loss: 0.4902 - acc: 0.7520
219/254 [========================>.....] - ETA: 0s - loss: 0.4950 - acc: 0.7486
237/254 [==========================>...] - ETA: 0s - loss: 0.4955 - acc: 0.7483
254/254 [==============================] - 1s 3ms/step - loss: 0.4956 - acc: 0.7473
254/254 [==============================] - 1s 5ms/step - loss: 0.4956 - acc: 0.7473 - val_loss: 0.5025 - val_acc: 0.7549
Epoch 8/50
1/254 [..............................] - ETA: 0s - loss: 0.5121 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4698 - acc: 0.7579
38/254 [===>..........................] - ETA: 0s - loss: 0.4795 - acc: 0.7592
58/254 [=====>........................] - ETA: 0s - loss: 0.4944 - acc: 0.7371
75/254 [=======>......................] - ETA: 0s - loss: 0.4885 - acc: 0.7420
94/254 [==========>...................] - ETA: 0s - loss: 0.4861 - acc: 0.7447
111/254 [============>.................] - ETA: 0s - loss: 0.4800 - acc: 0.7450
130/254 [==============>...............] - ETA: 0s - loss: 0.4763 - acc: 0.7481
148/254 [================>.............] - ETA: 0s - loss: 0.4809 - acc: 0.7459
165/254 [==================>...........] - ETA: 0s - loss: 0.4807 - acc: 0.7458
185/254 [====================>.........] - ETA: 0s - loss: 0.4829 - acc: 0.7457
204/254 [=======================>......] - ETA: 0s - loss: 0.4814 - acc: 0.7456
219/254 [========================>.....] - ETA: 0s - loss: 0.4807 - acc: 0.7454
225/254 [=========================>....] - ETA: 0s - loss: 0.4779 - acc: 0.7476
237/254 [==========================>...] - ETA: 0s - loss: 0.4789 - acc: 0.7477
252/254 [============================>.] - ETA: 0s - loss: 0.4820 - acc: 0.7456
254/254 [==============================] - 1s 3ms/step - loss: 0.4827 - acc: 0.7457
254/254 [==============================] - 1s 4ms/step - loss: 0.4827 - acc: 0.7457 - val_loss: 0.4973 - val_acc: 0.7513
Epoch 9/50
1/254 [..............................] - ETA: 0s - loss: 0.4715 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5094 - acc: 0.7556
37/254 [===>..........................] - ETA: 0s - loss: 0.4807 - acc: 0.7541
56/254 [=====>........................] - ETA: 0s - loss: 0.4797 - acc: 0.7607
73/254 [=======>......................] - ETA: 0s - loss: 0.4796 - acc: 0.7596
92/254 [=========>....................] - ETA: 0s - loss: 0.4742 - acc: 0.7620
110/254 [===========>..................] - ETA: 0s - loss: 0.4739 - acc: 0.7605
130/254 [==============>...............] - ETA: 0s - loss: 0.4763 - acc: 0.7600
147/254 [================>.............] - ETA: 0s - loss: 0.4749 - acc: 0.7602
164/254 [==================>...........] - ETA: 0s - loss: 0.4859 - acc: 0.7558
181/254 [====================>.........] - ETA: 0s - loss: 0.4858 - acc: 0.7539
199/254 [======================>.......] - ETA: 0s - loss: 0.4895 - acc: 0.7520
218/254 [========================>.....] - ETA: 0s - loss: 0.4874 - acc: 0.7516
227/254 [=========================>....] - ETA: 0s - loss: 0.4854 - acc: 0.7533
239/254 [===========================>..] - ETA: 0s - loss: 0.4865 - acc: 0.7527
254/254 [==============================] - 1s 3ms/step - loss: 0.4869 - acc: 0.7520
254/254 [==============================] - 1s 4ms/step - loss: 0.4869 - acc: 0.7520 - val_loss: 0.4812 - val_acc: 0.7709
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.4604 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4780 - acc: 0.7816
39/254 [===>..........................] - ETA: 0s - loss: 0.4953 - acc: 0.7474
57/254 [=====>........................] - ETA: 0s - loss: 0.4990 - acc: 0.7491
73/254 [=======>......................] - ETA: 0s - loss: 0.5071 - acc: 0.7404
80/254 [========>.....................] - ETA: 0s - loss: 0.5032 - acc: 0.7431
86/254 [=========>....................] - ETA: 0s - loss: 0.4947 - acc: 0.7483
91/254 [=========>....................] - ETA: 0s - loss: 0.4912 - acc: 0.7478
109/254 [===========>..................] - ETA: 0s - loss: 0.4917 - acc: 0.7408
129/254 [==============>...............] - ETA: 0s - loss: 0.4954 - acc: 0.7446
147/254 [================>.............] - ETA: 0s - loss: 0.4985 - acc: 0.7446
164/254 [==================>...........] - ETA: 0s - loss: 0.4935 - acc: 0.7473
183/254 [====================>.........] - ETA: 0s - loss: 0.4941 - acc: 0.7473
202/254 [======================>.......] - ETA: 0s - loss: 0.4966 - acc: 0.7478
221/254 [=========================>....] - ETA: 0s - loss: 0.4928 - acc: 0.7466
239/254 [===========================>..] - ETA: 0s - loss: 0.4889 - acc: 0.7483
254/254 [==============================] - 1s 3ms/step - loss: 0.4886 - acc: 0.7506
254/254 [==============================] - 1s 5ms/step - loss: 0.4886 - acc: 0.7506 - val_loss: 0.4697 - val_acc: 0.7780
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.4436 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4671 - acc: 0.7868
38/254 [===>..........................] - ETA: 0s - loss: 0.4776 - acc: 0.7671
57/254 [=====>........................] - ETA: 0s - loss: 0.4704 - acc: 0.7649
74/254 [=======>......................] - ETA: 0s - loss: 0.4579 - acc: 0.7696
90/254 [=========>....................] - ETA: 0s - loss: 0.4493 - acc: 0.7778
109/254 [===========>..................] - ETA: 0s - loss: 0.4542 - acc: 0.7711
127/254 [==============>...............] - ETA: 0s - loss: 0.4528 - acc: 0.7728
144/254 [================>.............] - ETA: 0s - loss: 0.4592 - acc: 0.7736
153/254 [=================>............] - ETA: 0s - loss: 0.4593 - acc: 0.7748
166/254 [==================>...........] - ETA: 0s - loss: 0.4642 - acc: 0.7735
185/254 [====================>.........] - ETA: 0s - loss: 0.4722 - acc: 0.7657
204/254 [=======================>......] - ETA: 0s - loss: 0.4748 - acc: 0.7613
221/254 [=========================>....] - ETA: 0s - loss: 0.4760 - acc: 0.7590
239/254 [===========================>..] - ETA: 0s - loss: 0.4815 - acc: 0.7556
254/254 [==============================] - 1s 3ms/step - loss: 0.4789 - acc: 0.7568
254/254 [==============================] - 1s 4ms/step - loss: 0.4789 - acc: 0.7568 - val_loss: 0.4997 - val_acc: 0.7549
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.4077 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4587 - acc: 0.7500
37/254 [===>..........................] - ETA: 0s - loss: 0.4730 - acc: 0.7608
56/254 [=====>........................] - ETA: 0s - loss: 0.4791 - acc: 0.7580
74/254 [=======>......................] - ETA: 0s - loss: 0.4760 - acc: 0.7642
91/254 [=========>....................] - ETA: 0s - loss: 0.4807 - acc: 0.7621
110/254 [===========>..................] - ETA: 0s - loss: 0.4786 - acc: 0.7595
128/254 [==============>...............] - ETA: 0s - loss: 0.4710 - acc: 0.7621
146/254 [================>.............] - ETA: 0s - loss: 0.4738 - acc: 0.7613
150/254 [================>.............] - ETA: 0s - loss: 0.4752 - acc: 0.7617
153/254 [=================>............] - ETA: 0s - loss: 0.4728 - acc: 0.7624
171/254 [===================>..........] - ETA: 0s - loss: 0.4756 - acc: 0.7623
189/254 [=====================>........] - ETA: 0s - loss: 0.4784 - acc: 0.7608
207/254 [=======================>......] - ETA: 0s - loss: 0.4791 - acc: 0.7601
227/254 [=========================>....] - ETA: 0s - loss: 0.4803 - acc: 0.7584
245/254 [===========================>..] - ETA: 0s - loss: 0.4807 - acc: 0.7573
254/254 [==============================] - 1s 3ms/step - loss: 0.4794 - acc: 0.7575
254/254 [==============================] - 1s 5ms/step - loss: 0.4794 - acc: 0.7575 - val_loss: 0.4840 - val_acc: 0.7620
Epoch 13/50
1/254 [..............................] - ETA: 1s - loss: 0.5470 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.5497 - acc: 0.7278
36/254 [===>..........................] - ETA: 0s - loss: 0.5080 - acc: 0.7667
55/254 [=====>........................] - ETA: 0s - loss: 0.4978 - acc: 0.7600
73/254 [=======>......................] - ETA: 0s - loss: 0.4921 - acc: 0.7568
91/254 [=========>....................] - ETA: 0s - loss: 0.4830 - acc: 0.7610
102/254 [===========>..................] - ETA: 0s - loss: 0.4812 - acc: 0.7608
118/254 [============>.................] - ETA: 0s - loss: 0.4824 - acc: 0.7636
132/254 [==============>...............] - ETA: 0s - loss: 0.4819 - acc: 0.7636
146/254 [================>.............] - ETA: 0s - loss: 0.4867 - acc: 0.7579
163/254 [==================>...........] - ETA: 0s - loss: 0.4876 - acc: 0.7580
182/254 [====================>.........] - ETA: 0s - loss: 0.4852 - acc: 0.7599
202/254 [======================>.......] - ETA: 0s - loss: 0.4850 - acc: 0.7597
219/254 [========================>.....] - ETA: 0s - loss: 0.4888 - acc: 0.7564
237/254 [==========================>...] - ETA: 0s - loss: 0.4876 - acc: 0.7568
253/254 [============================>.] - ETA: 0s - loss: 0.4851 - acc: 0.7577
254/254 [==============================] - 1s 3ms/step - loss: 0.4847 - acc: 0.7579
254/254 [==============================] - 1s 4ms/step - loss: 0.4847 - acc: 0.7579 - val_loss: 0.4852 - val_acc: 0.7567
Epoch 14/50
1/254 [..............................] - ETA: 0s - loss: 0.6004 - acc: 0.6500
20/254 [=>............................] - ETA: 0s - loss: 0.5041 - acc: 0.7325
36/254 [===>..........................] - ETA: 0s - loss: 0.4876 - acc: 0.7222
55/254 [=====>........................] - ETA: 0s - loss: 0.4792 - acc: 0.7236
74/254 [=======>......................] - ETA: 0s - loss: 0.4866 - acc: 0.7372
88/254 [=========>....................] - ETA: 0s - loss: 0.4896 - acc: 0.7398
100/254 [==========>...................] - ETA: 0s - loss: 0.4944 - acc: 0.7410
116/254 [============>.................] - ETA: 0s - loss: 0.4852 - acc: 0.7457
132/254 [==============>...............] - ETA: 0s - loss: 0.4774 - acc: 0.7496
151/254 [================>.............] - ETA: 0s - loss: 0.4693 - acc: 0.7526
170/254 [===================>..........] - ETA: 0s - loss: 0.4717 - acc: 0.7579
188/254 [=====================>........] - ETA: 0s - loss: 0.4690 - acc: 0.7601
206/254 [=======================>......] - ETA: 0s - loss: 0.4721 - acc: 0.7570
222/254 [=========================>....] - ETA: 0s - loss: 0.4751 - acc: 0.7570
240/254 [===========================>..] - ETA: 0s - loss: 0.4751 - acc: 0.7596
254/254 [==============================] - 1s 3ms/step - loss: 0.4767 - acc: 0.7575
254/254 [==============================] - 1s 4ms/step - loss: 0.4767 - acc: 0.7575 - val_loss: 0.4834 - val_acc: 0.7638
Epoch 15/50
1/254 [..............................] - ETA: 0s - loss: 0.3669 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.5115 - acc: 0.7306
38/254 [===>..........................] - ETA: 0s - loss: 0.5055 - acc: 0.7368
57/254 [=====>........................] - ETA: 0s - loss: 0.4885 - acc: 0.7386
65/254 [======>.......................] - ETA: 0s - loss: 0.4782 - acc: 0.7469
71/254 [=======>......................] - ETA: 0s - loss: 0.4727 - acc: 0.7521
90/254 [=========>....................] - ETA: 0s - loss: 0.4796 - acc: 0.7489
108/254 [===========>..................] - ETA: 0s - loss: 0.4792 - acc: 0.7528
113/254 [============>.................] - ETA: 0s - loss: 0.4788 - acc: 0.7509
132/254 [==============>...............] - ETA: 0s - loss: 0.4747 - acc: 0.7553
149/254 [================>.............] - ETA: 0s - loss: 0.4769 - acc: 0.7547
168/254 [==================>...........] - ETA: 0s - loss: 0.4796 - acc: 0.7515
188/254 [=====================>........] - ETA: 0s - loss: 0.4843 - acc: 0.7489
206/254 [=======================>......] - ETA: 0s - loss: 0.4828 - acc: 0.7498
223/254 [=========================>....] - ETA: 0s - loss: 0.4799 - acc: 0.7520
240/254 [===========================>..] - ETA: 0s - loss: 0.4820 - acc: 0.7519
254/254 [==============================] - 1s 3ms/step - loss: 0.4810 - acc: 0.7524
254/254 [==============================] - 1s 4ms/step - loss: 0.4810 - acc: 0.7524 - val_loss: 0.4921 - val_acc: 0.7602
Epoch 16/50
1/254 [..............................] - ETA: 1s - loss: 0.5481 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.4455 - acc: 0.7853
30/254 [==>...........................] - ETA: 0s - loss: 0.4316 - acc: 0.7833
46/254 [====>.........................] - ETA: 0s - loss: 0.4465 - acc: 0.7717
64/254 [======>.......................] - ETA: 0s - loss: 0.4715 - acc: 0.7625
78/254 [========>.....................] - ETA: 0s - loss: 0.4679 - acc: 0.7615
95/254 [==========>...................] - ETA: 0s - loss: 0.4808 - acc: 0.7532
111/254 [============>.................] - ETA: 0s - loss: 0.4844 - acc: 0.7509
129/254 [==============>...............] - ETA: 0s - loss: 0.4872 - acc: 0.7488
144/254 [================>.............] - ETA: 0s - loss: 0.4872 - acc: 0.7503
163/254 [==================>...........] - ETA: 0s - loss: 0.4846 - acc: 0.7479
181/254 [====================>.........] - ETA: 0s - loss: 0.4822 - acc: 0.7497
199/254 [======================>.......] - ETA: 0s - loss: 0.4797 - acc: 0.7515
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249/254 [============================>.] - ETA: 0s - loss: 0.4791 - acc: 0.7528
254/254 [==============================] - 1s 3ms/step - loss: 0.4806 - acc: 0.7522
254/254 [==============================] - 1s 4ms/step - loss: 0.4806 - acc: 0.7522 - val_loss: 0.4867 - val_acc: 0.7567
Epoch 17/50
1/254 [..............................] - ETA: 0s - loss: 0.5374 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4276 - acc: 0.7684
27/254 [==>...........................] - ETA: 0s - loss: 0.4365 - acc: 0.7593
40/254 [===>..........................] - ETA: 0s - loss: 0.4473 - acc: 0.7487
57/254 [=====>........................] - ETA: 0s - loss: 0.4858 - acc: 0.7421
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93/254 [=========>....................] - ETA: 0s - loss: 0.4921 - acc: 0.7355
110/254 [===========>..................] - ETA: 0s - loss: 0.4809 - acc: 0.7441
128/254 [==============>...............] - ETA: 0s - loss: 0.4818 - acc: 0.7461
146/254 [================>.............] - ETA: 0s - loss: 0.4731 - acc: 0.7507
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181/254 [====================>.........] - ETA: 0s - loss: 0.4759 - acc: 0.7511
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254/254 [==============================] - 1s 3ms/step - loss: 0.4738 - acc: 0.7583
254/254 [==============================] - 1s 4ms/step - loss: 0.4738 - acc: 0.7583 - val_loss: 0.4923 - val_acc: 0.7673
Epoch 18/50
1/254 [..............................] - ETA: 1s - loss: 0.5657 - acc: 0.8000
13/254 [>.............................] - ETA: 1s - loss: 0.4788 - acc: 0.7423
19/254 [=>............................] - ETA: 1s - loss: 0.4515 - acc: 0.7605
29/254 [==>...........................] - ETA: 1s - loss: 0.4542 - acc: 0.7638
47/254 [====>.........................] - ETA: 0s - loss: 0.4622 - acc: 0.7809
64/254 [======>.......................] - ETA: 0s - loss: 0.4667 - acc: 0.7773
78/254 [========>.....................] - ETA: 0s - loss: 0.4751 - acc: 0.7660
96/254 [==========>...................] - ETA: 0s - loss: 0.4696 - acc: 0.7620
114/254 [============>.................] - ETA: 0s - loss: 0.4711 - acc: 0.7570
132/254 [==============>...............] - ETA: 0s - loss: 0.4721 - acc: 0.7587
152/254 [================>.............] - ETA: 0s - loss: 0.4702 - acc: 0.7599
170/254 [===================>..........] - ETA: 0s - loss: 0.4728 - acc: 0.7597
188/254 [=====================>........] - ETA: 0s - loss: 0.4710 - acc: 0.7598
207/254 [=======================>......] - ETA: 0s - loss: 0.4748 - acc: 0.7594
227/254 [=========================>....] - ETA: 0s - loss: 0.4802 - acc: 0.7577
245/254 [===========================>..] - ETA: 0s - loss: 0.4788 - acc: 0.7553
254/254 [==============================] - 1s 3ms/step - loss: 0.4753 - acc: 0.7573
254/254 [==============================] - 1s 4ms/step - loss: 0.4753 - acc: 0.7573 - val_loss: 0.5028 - val_acc: 0.7531
Epoch 19/50
1/254 [..............................] - ETA: 0s - loss: 0.3376 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4561 - acc: 0.7667
37/254 [===>..........................] - ETA: 0s - loss: 0.4390 - acc: 0.7824
56/254 [=====>........................] - ETA: 0s - loss: 0.4474 - acc: 0.7696
74/254 [=======>......................] - ETA: 0s - loss: 0.4462 - acc: 0.7736
92/254 [=========>....................] - ETA: 0s - loss: 0.4513 - acc: 0.7766
111/254 [============>.................] - ETA: 0s - loss: 0.4500 - acc: 0.7766
130/254 [==============>...............] - ETA: 0s - loss: 0.4644 - acc: 0.7635
147/254 [================>.............] - ETA: 0s - loss: 0.4749 - acc: 0.7544
166/254 [==================>...........] - ETA: 0s - loss: 0.4778 - acc: 0.7515
183/254 [====================>.........] - ETA: 0s - loss: 0.4788 - acc: 0.7486
201/254 [======================>.......] - ETA: 0s - loss: 0.4719 - acc: 0.7530
219/254 [========================>.....] - ETA: 0s - loss: 0.4703 - acc: 0.7568
238/254 [===========================>..] - ETA: 0s - loss: 0.4747 - acc: 0.7542
254/254 [==============================] - 1s 3ms/step - loss: 0.4741 - acc: 0.7518
254/254 [==============================] - 1s 4ms/step - loss: 0.4741 - acc: 0.7518 - val_loss: 0.4749 - val_acc: 0.7638
Epoch 20/50
1/254 [..............................] - ETA: 0s - loss: 0.4244 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.4771 - acc: 0.7579
39/254 [===>..........................] - ETA: 0s - loss: 0.4501 - acc: 0.7782
58/254 [=====>........................] - ETA: 0s - loss: 0.4562 - acc: 0.7681
74/254 [=======>......................] - ETA: 0s - loss: 0.4676 - acc: 0.7581
87/254 [=========>....................] - ETA: 0s - loss: 0.4719 - acc: 0.7534
100/254 [==========>...................] - ETA: 0s - loss: 0.4694 - acc: 0.7520
113/254 [============>.................] - ETA: 0s - loss: 0.4745 - acc: 0.7531
129/254 [==============>...............] - ETA: 0s - loss: 0.4704 - acc: 0.7516
147/254 [================>.............] - ETA: 0s - loss: 0.4749 - acc: 0.7507
160/254 [=================>............] - ETA: 0s - loss: 0.4718 - acc: 0.7494
179/254 [====================>.........] - ETA: 0s - loss: 0.4747 - acc: 0.7436
184/254 [====================>.........] - ETA: 0s - loss: 0.4769 - acc: 0.7440
194/254 [=====================>........] - ETA: 0s - loss: 0.4749 - acc: 0.7451
213/254 [========================>.....] - ETA: 0s - loss: 0.4711 - acc: 0.7469
232/254 [==========================>...] - ETA: 0s - loss: 0.4710 - acc: 0.7494
251/254 [============================>.] - ETA: 0s - loss: 0.4712 - acc: 0.7518
254/254 [==============================] - 1s 3ms/step - loss: 0.4723 - acc: 0.7514
254/254 [==============================] - 1s 5ms/step - loss: 0.4723 - acc: 0.7514 - val_loss: 0.4800 - val_acc: 0.7691
Run completed: runs/2024-05-06T19-45-03Z
Training run 34/52 (flags = list(64, 32, 0.001, 50, 30, "sigmoid", "tanh", 0.2, 0.2))
Using run directory runs/2024-05-06T19-45-28Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:41 - loss: 0.7287 - acc: 0.3000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0300s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0300s). Check your callbacks.
16/102 [===>..........................] - ETA: 0s - loss: 0.7259 - acc: 0.4613
32/102 [========>.....................] - ETA: 0s - loss: 0.6983 - acc: 0.5394
47/102 [============>.................] - ETA: 0s - loss: 0.6700 - acc: 0.5664
63/102 [=================>............] - ETA: 0s - loss: 0.6444 - acc: 0.6133
78/102 [=====================>........] - ETA: 0s - loss: 0.6241 - acc: 0.6382
95/102 [==========================>...] - ETA: 0s - loss: 0.6094 - acc: 0.6522
102/102 [==============================] - 2s 3ms/step - loss: 0.6035 - acc: 0.6560
102/102 [==============================] - 3s 12ms/step - loss: 0.6035 - acc: 0.6560 - val_loss: 0.5313 - val_acc: 0.7336
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.6126 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.5040 - acc: 0.7494
33/102 [========>.....................] - ETA: 0s - loss: 0.5297 - acc: 0.7345
40/102 [==========>...................] - ETA: 0s - loss: 0.5373 - acc: 0.7230
52/102 [==============>...............] - ETA: 0s - loss: 0.5315 - acc: 0.7319
66/102 [==================>...........] - ETA: 0s - loss: 0.5390 - acc: 0.7230
80/102 [======================>.......] - ETA: 0s - loss: 0.5318 - acc: 0.7312
90/102 [=========================>....] - ETA: 0s - loss: 0.5248 - acc: 0.7349
102/102 [==============================] - 0s 4ms/step - loss: 0.5194 - acc: 0.7398
102/102 [==============================] - 1s 6ms/step - loss: 0.5194 - acc: 0.7398 - val_loss: 0.4819 - val_acc: 0.7655
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.5202 - acc: 0.7600
16/102 [===>..........................] - ETA: 0s - loss: 0.4928 - acc: 0.7825
32/102 [========>.....................] - ETA: 0s - loss: 0.4983 - acc: 0.7700
47/102 [============>.................] - ETA: 0s - loss: 0.5109 - acc: 0.7604
64/102 [=================>............] - ETA: 0s - loss: 0.5186 - acc: 0.7487
80/102 [======================>.......] - ETA: 0s - loss: 0.5169 - acc: 0.7480
97/102 [===========================>..] - ETA: 0s - loss: 0.5152 - acc: 0.7505
102/102 [==============================] - 0s 3ms/step - loss: 0.5145 - acc: 0.7506
102/102 [==============================] - 1s 6ms/step - loss: 0.5145 - acc: 0.7506 - val_loss: 0.4776 - val_acc: 0.7709
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.4445 - acc: 0.7600
16/102 [===>..........................] - ETA: 0s - loss: 0.5081 - acc: 0.7663
17/102 [====>.........................] - ETA: 0s - loss: 0.5053 - acc: 0.7647
24/102 [======>.......................] - ETA: 0s - loss: 0.5129 - acc: 0.7575
41/102 [===========>..................] - ETA: 0s - loss: 0.5147 - acc: 0.7541
47/102 [============>.................] - ETA: 0s - loss: 0.5141 - acc: 0.7528
64/102 [=================>............] - ETA: 0s - loss: 0.5130 - acc: 0.7491
81/102 [======================>.......] - ETA: 0s - loss: 0.5094 - acc: 0.7526
97/102 [===========================>..] - ETA: 0s - loss: 0.5109 - acc: 0.7513
102/102 [==============================] - 1s 5ms/step - loss: 0.5112 - acc: 0.7520
102/102 [==============================] - 1s 8ms/step - loss: 0.5112 - acc: 0.7520 - val_loss: 0.4961 - val_acc: 0.7638
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.4604 - acc: 0.7800
16/102 [===>..........................] - ETA: 0s - loss: 0.4614 - acc: 0.7850
33/102 [========>.....................] - ETA: 0s - loss: 0.5088 - acc: 0.7509
50/102 [=============>................] - ETA: 0s - loss: 0.5035 - acc: 0.7560
65/102 [==================>...........] - ETA: 0s - loss: 0.5047 - acc: 0.7532
79/102 [======================>.......] - ETA: 0s - loss: 0.5050 - acc: 0.7539
86/102 [========================>.....] - ETA: 0s - loss: 0.5044 - acc: 0.7540
102/102 [==============================] - 0s 4ms/step - loss: 0.5079 - acc: 0.7487
102/102 [==============================] - 1s 7ms/step - loss: 0.5079 - acc: 0.7487 - val_loss: 0.4941 - val_acc: 0.7655
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.6328 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.5013 - acc: 0.7518
34/102 [=========>....................] - ETA: 0s - loss: 0.5124 - acc: 0.7424
50/102 [=============>................] - ETA: 0s - loss: 0.5001 - acc: 0.7524
66/102 [==================>...........] - ETA: 0s - loss: 0.5008 - acc: 0.7482
81/102 [======================>.......] - ETA: 0s - loss: 0.5036 - acc: 0.7501
96/102 [===========================>..] - ETA: 0s - loss: 0.4986 - acc: 0.7513
102/102 [==============================] - 0s 3ms/step - loss: 0.5006 - acc: 0.7510
102/102 [==============================] - 1s 6ms/step - loss: 0.5006 - acc: 0.7510 - val_loss: 0.5155 - val_acc: 0.7531
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.5197 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.4759 - acc: 0.7435
23/102 [=====>........................] - ETA: 0s - loss: 0.4804 - acc: 0.7452
36/102 [=========>....................] - ETA: 0s - loss: 0.4934 - acc: 0.7494
52/102 [==============>...............] - ETA: 0s - loss: 0.4987 - acc: 0.7423
67/102 [==================>...........] - ETA: 0s - loss: 0.4949 - acc: 0.7454
84/102 [=======================>......] - ETA: 0s - loss: 0.5025 - acc: 0.7429
100/102 [============================>.] - ETA: 0s - loss: 0.5013 - acc: 0.7422
102/102 [==============================] - 0s 4ms/step - loss: 0.4999 - acc: 0.7437
102/102 [==============================] - 1s 7ms/step - loss: 0.4999 - acc: 0.7437 - val_loss: 0.4742 - val_acc: 0.7673
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.4391 - acc: 0.8400
18/102 [====>.........................] - ETA: 0s - loss: 0.4518 - acc: 0.7922
35/102 [=========>....................] - ETA: 0s - loss: 0.4659 - acc: 0.7869
51/102 [==============>...............] - ETA: 0s - loss: 0.4746 - acc: 0.7718
66/102 [==================>...........] - ETA: 0s - loss: 0.4836 - acc: 0.7670
81/102 [======================>.......] - ETA: 0s - loss: 0.4897 - acc: 0.7630
91/102 [=========================>....] - ETA: 0s - loss: 0.4929 - acc: 0.7600
102/102 [==============================] - 0s 4ms/step - loss: 0.4958 - acc: 0.7583
102/102 [==============================] - 1s 6ms/step - loss: 0.4958 - acc: 0.7583 - val_loss: 0.4759 - val_acc: 0.7673
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.4030 - acc: 0.8200
16/102 [===>..........................] - ETA: 0s - loss: 0.4807 - acc: 0.7725
32/102 [========>.....................] - ETA: 0s - loss: 0.4732 - acc: 0.7600
49/102 [=============>................] - ETA: 0s - loss: 0.4746 - acc: 0.7657
65/102 [==================>...........] - ETA: 0s - loss: 0.4838 - acc: 0.7600
71/102 [===================>..........] - ETA: 0s - loss: 0.4868 - acc: 0.7586
87/102 [========================>.....] - ETA: 0s - loss: 0.4862 - acc: 0.7547
96/102 [===========================>..] - ETA: 0s - loss: 0.4903 - acc: 0.7535
102/102 [==============================] - 0s 4ms/step - loss: 0.4916 - acc: 0.7516
102/102 [==============================] - 1s 7ms/step - loss: 0.4916 - acc: 0.7516 - val_loss: 0.4980 - val_acc: 0.7567
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.3692 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.4839 - acc: 0.7494
34/102 [=========>....................] - ETA: 0s - loss: 0.4818 - acc: 0.7453
50/102 [=============>................] - ETA: 0s - loss: 0.4826 - acc: 0.7496
66/102 [==================>...........] - ETA: 0s - loss: 0.4921 - acc: 0.7473
80/102 [======================>.......] - ETA: 0s - loss: 0.4950 - acc: 0.7508
89/102 [=========================>....] - ETA: 0s - loss: 0.4947 - acc: 0.7512
102/102 [==============================] - 0s 4ms/step - loss: 0.4930 - acc: 0.7510
102/102 [==============================] - 1s 7ms/step - loss: 0.4930 - acc: 0.7510 - val_loss: 0.4866 - val_acc: 0.7620
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.6384 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.4884 - acc: 0.7706
34/102 [=========>....................] - ETA: 0s - loss: 0.4916 - acc: 0.7606
50/102 [=============>................] - ETA: 0s - loss: 0.4984 - acc: 0.7544
66/102 [==================>...........] - ETA: 0s - loss: 0.4947 - acc: 0.7567
81/102 [======================>.......] - ETA: 0s - loss: 0.4936 - acc: 0.7575
97/102 [===========================>..] - ETA: 0s - loss: 0.4969 - acc: 0.7571
102/102 [==============================] - 0s 4ms/step - loss: 0.4972 - acc: 0.7562
102/102 [==============================] - 1s 6ms/step - loss: 0.4972 - acc: 0.7562 - val_loss: 0.5252 - val_acc: 0.7353
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.4581 - acc: 0.7000
13/102 [==>...........................] - ETA: 0s - loss: 0.4428 - acc: 0.7646
30/102 [=======>......................] - ETA: 0s - loss: 0.4716 - acc: 0.7620
47/102 [============>.................] - ETA: 0s - loss: 0.4838 - acc: 0.7540
59/102 [================>.............] - ETA: 0s - loss: 0.4906 - acc: 0.7536
75/102 [=====================>........] - ETA: 0s - loss: 0.4941 - acc: 0.7520
92/102 [==========================>...] - ETA: 0s - loss: 0.4968 - acc: 0.7493
102/102 [==============================] - 0s 3ms/step - loss: 0.4932 - acc: 0.7536
102/102 [==============================] - 1s 6ms/step - loss: 0.4932 - acc: 0.7536 - val_loss: 0.4667 - val_acc: 0.7744
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.6683 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.5146 - acc: 0.7541
24/102 [======>.......................] - ETA: 0s - loss: 0.4952 - acc: 0.7650
41/102 [===========>..................] - ETA: 0s - loss: 0.4916 - acc: 0.7605
48/102 [=============>................] - ETA: 0s - loss: 0.4995 - acc: 0.7621
63/102 [=================>............] - ETA: 0s - loss: 0.4978 - acc: 0.7543
79/102 [======================>.......] - ETA: 0s - loss: 0.4934 - acc: 0.7582
95/102 [==========================>...] - ETA: 0s - loss: 0.4934 - acc: 0.7596
102/102 [==============================] - 0s 4ms/step - loss: 0.4929 - acc: 0.7577
102/102 [==============================] - 1s 6ms/step - loss: 0.4929 - acc: 0.7577 - val_loss: 0.5255 - val_acc: 0.7425
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.4216 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.4857 - acc: 0.7600
33/102 [========>.....................] - ETA: 0s - loss: 0.4682 - acc: 0.7758
50/102 [=============>................] - ETA: 0s - loss: 0.4852 - acc: 0.7664
68/102 [===================>..........] - ETA: 0s - loss: 0.4970 - acc: 0.7529
85/102 [========================>.....] - ETA: 0s - loss: 0.4971 - acc: 0.7544
102/102 [==============================] - 0s 3ms/step - loss: 0.4931 - acc: 0.7569
102/102 [==============================] - 1s 8ms/step - loss: 0.4931 - acc: 0.7569 - val_loss: 0.4763 - val_acc: 0.7655
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.4819 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.4597 - acc: 0.7553
33/102 [========>.....................] - ETA: 0s - loss: 0.4879 - acc: 0.7533
51/102 [==============>...............] - ETA: 0s - loss: 0.4929 - acc: 0.7471
67/102 [==================>...........] - ETA: 0s - loss: 0.4906 - acc: 0.7484
84/102 [=======================>......] - ETA: 0s - loss: 0.4902 - acc: 0.7512
101/102 [============================>.] - ETA: 0s - loss: 0.4905 - acc: 0.7507
102/102 [==============================] - 0s 3ms/step - loss: 0.4900 - acc: 0.7510
102/102 [==============================] - 1s 5ms/step - loss: 0.4900 - acc: 0.7510 - val_loss: 0.4598 - val_acc: 0.7744
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.4220 - acc: 0.8200
17/102 [====>.........................] - ETA: 0s - loss: 0.5031 - acc: 0.7600
30/102 [=======>......................] - ETA: 0s - loss: 0.4813 - acc: 0.7607
48/102 [=============>................] - ETA: 0s - loss: 0.4900 - acc: 0.7571
65/102 [==================>...........] - ETA: 0s - loss: 0.4895 - acc: 0.7566
81/102 [======================>.......] - ETA: 0s - loss: 0.4934 - acc: 0.7533
96/102 [===========================>..] - ETA: 0s - loss: 0.4861 - acc: 0.7558
102/102 [==============================] - 0s 4ms/step - loss: 0.4890 - acc: 0.7546
102/102 [==============================] - 1s 6ms/step - loss: 0.4890 - acc: 0.7546 - val_loss: 0.4772 - val_acc: 0.7638
Epoch 17/30
1/102 [..............................] - ETA: 0s - loss: 0.6088 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.4932 - acc: 0.7306
34/102 [=========>....................] - ETA: 0s - loss: 0.4895 - acc: 0.7500
50/102 [=============>................] - ETA: 0s - loss: 0.4893 - acc: 0.7576
67/102 [==================>...........] - ETA: 0s - loss: 0.4862 - acc: 0.7597
82/102 [=======================>......] - ETA: 0s - loss: 0.4824 - acc: 0.7585
96/102 [===========================>..] - ETA: 0s - loss: 0.4839 - acc: 0.7563
102/102 [==============================] - 0s 3ms/step - loss: 0.4861 - acc: 0.7546
102/102 [==============================] - 1s 6ms/step - loss: 0.4861 - acc: 0.7546 - val_loss: 0.4920 - val_acc: 0.7584
Epoch 18/30
1/102 [..............................] - ETA: 0s - loss: 0.4809 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.4912 - acc: 0.7435
34/102 [=========>....................] - ETA: 0s - loss: 0.4863 - acc: 0.7459
51/102 [==============>...............] - ETA: 0s - loss: 0.4961 - acc: 0.7455
67/102 [==================>...........] - ETA: 0s - loss: 0.4950 - acc: 0.7490
83/102 [=======================>......] - ETA: 0s - loss: 0.4904 - acc: 0.7542
101/102 [============================>.] - ETA: 0s - loss: 0.4881 - acc: 0.7549
102/102 [==============================] - 0s 3ms/step - loss: 0.4874 - acc: 0.7552
102/102 [==============================] - 1s 6ms/step - loss: 0.4874 - acc: 0.7552 - val_loss: 0.4682 - val_acc: 0.7691
Epoch 19/30
1/102 [..............................] - ETA: 0s - loss: 0.5388 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5235 - acc: 0.7541
34/102 [=========>....................] - ETA: 0s - loss: 0.4833 - acc: 0.7576
52/102 [==============>...............] - ETA: 0s - loss: 0.4847 - acc: 0.7650
68/102 [===================>..........] - ETA: 0s - loss: 0.4806 - acc: 0.7576
84/102 [=======================>......] - ETA: 0s - loss: 0.4895 - acc: 0.7557
91/102 [=========================>....] - ETA: 0s - loss: 0.4890 - acc: 0.7532
102/102 [==============================] - 0s 4ms/step - loss: 0.4858 - acc: 0.7526
102/102 [==============================] - 1s 6ms/step - loss: 0.4858 - acc: 0.7526 - val_loss: 0.4565 - val_acc: 0.7744
Epoch 20/30
1/102 [..............................] - ETA: 0s - loss: 0.4706 - acc: 0.7600
16/102 [===>..........................] - ETA: 0s - loss: 0.4773 - acc: 0.7788
34/102 [=========>....................] - ETA: 0s - loss: 0.4889 - acc: 0.7641
50/102 [=============>................] - ETA: 0s - loss: 0.4907 - acc: 0.7596
66/102 [==================>...........] - ETA: 0s - loss: 0.4823 - acc: 0.7636
72/102 [====================>.........] - ETA: 0s - loss: 0.4831 - acc: 0.7606
87/102 [========================>.....] - ETA: 0s - loss: 0.4843 - acc: 0.7570
98/102 [===========================>..] - ETA: 0s - loss: 0.4843 - acc: 0.7588
102/102 [==============================] - 0s 4ms/step - loss: 0.4854 - acc: 0.7585
102/102 [==============================] - 1s 7ms/step - loss: 0.4854 - acc: 0.7585 - val_loss: 0.4812 - val_acc: 0.7602
Epoch 21/30
1/102 [..............................] - ETA: 0s - loss: 0.5092 - acc: 0.7200
10/102 [=>............................] - ETA: 0s - loss: 0.4950 - acc: 0.7460
27/102 [======>.......................] - ETA: 0s - loss: 0.4876 - acc: 0.7526
37/102 [=========>....................] - ETA: 0s - loss: 0.4867 - acc: 0.7541
54/102 [==============>...............] - ETA: 0s - loss: 0.4911 - acc: 0.7507
71/102 [===================>..........] - ETA: 0s - loss: 0.4838 - acc: 0.7575
88/102 [========================>.....] - ETA: 0s - loss: 0.4825 - acc: 0.7607
102/102 [==============================] - 0s 4ms/step - loss: 0.4849 - acc: 0.7583
102/102 [==============================] - 1s 6ms/step - loss: 0.4849 - acc: 0.7583 - val_loss: 0.4931 - val_acc: 0.7496
Epoch 22/30
1/102 [..............................] - ETA: 0s - loss: 0.3164 - acc: 0.8600
17/102 [====>.........................] - ETA: 0s - loss: 0.5234 - acc: 0.7612
34/102 [=========>....................] - ETA: 0s - loss: 0.5047 - acc: 0.7594
51/102 [==============>...............] - ETA: 0s - loss: 0.4772 - acc: 0.7655
66/102 [==================>...........] - ETA: 0s - loss: 0.4812 - acc: 0.7627
84/102 [=======================>......] - ETA: 0s - loss: 0.4841 - acc: 0.7574
101/102 [============================>.] - ETA: 0s - loss: 0.4843 - acc: 0.7541
102/102 [==============================] - 0s 3ms/step - loss: 0.4847 - acc: 0.7536
102/102 [==============================] - 1s 6ms/step - loss: 0.4847 - acc: 0.7536 - val_loss: 0.4987 - val_acc: 0.7478
Epoch 23/30
1/102 [..............................] - ETA: 0s - loss: 0.5255 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.4994 - acc: 0.7529
35/102 [=========>....................] - ETA: 0s - loss: 0.5041 - acc: 0.7491
52/102 [==============>...............] - ETA: 0s - loss: 0.4956 - acc: 0.7519
68/102 [===================>..........] - ETA: 0s - loss: 0.4954 - acc: 0.7509
85/102 [========================>.....] - ETA: 0s - loss: 0.4971 - acc: 0.7480
102/102 [==============================] - 0s 3ms/step - loss: 0.4876 - acc: 0.7536
102/102 [==============================] - 1s 5ms/step - loss: 0.4876 - acc: 0.7536 - val_loss: 0.4776 - val_acc: 0.7620
Epoch 24/30
1/102 [..............................] - ETA: 0s - loss: 0.4673 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.4772 - acc: 0.7678
36/102 [=========>....................] - ETA: 0s - loss: 0.4794 - acc: 0.7606
47/102 [============>.................] - ETA: 0s - loss: 0.4905 - acc: 0.7557
52/102 [==============>...............] - ETA: 0s - loss: 0.4900 - acc: 0.7569
63/102 [=================>............] - ETA: 0s - loss: 0.4836 - acc: 0.7597
76/102 [=====================>........] - ETA: 0s - loss: 0.4887 - acc: 0.7568
92/102 [==========================>...] - ETA: 0s - loss: 0.4885 - acc: 0.7557
102/102 [==============================] - 0s 4ms/step - loss: 0.4866 - acc: 0.7544
102/102 [==============================] - 1s 6ms/step - loss: 0.4866 - acc: 0.7544 - val_loss: 0.4802 - val_acc: 0.7638
Epoch 25/30
1/102 [..............................] - ETA: 0s - loss: 0.5123 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.4909 - acc: 0.7659
34/102 [=========>....................] - ETA: 0s - loss: 0.5027 - acc: 0.7506
52/102 [==============>...............] - ETA: 0s - loss: 0.4978 - acc: 0.7485
68/102 [===================>..........] - ETA: 0s - loss: 0.4917 - acc: 0.7503
83/102 [=======================>......] - ETA: 0s - loss: 0.4844 - acc: 0.7578
101/102 [============================>.] - ETA: 0s - loss: 0.4878 - acc: 0.7517
102/102 [==============================] - 0s 3ms/step - loss: 0.4871 - acc: 0.7522
102/102 [==============================] - 1s 6ms/step - loss: 0.4871 - acc: 0.7522 - val_loss: 0.4752 - val_acc: 0.7655
Epoch 26/30
1/102 [..............................] - ETA: 0s - loss: 0.7165 - acc: 0.6000
16/102 [===>..........................] - ETA: 0s - loss: 0.4864 - acc: 0.7600
33/102 [========>.....................] - ETA: 0s - loss: 0.4851 - acc: 0.7576
50/102 [=============>................] - ETA: 0s - loss: 0.4797 - acc: 0.7616
63/102 [=================>............] - ETA: 0s - loss: 0.4866 - acc: 0.7537
79/102 [======================>.......] - ETA: 0s - loss: 0.4858 - acc: 0.7557
89/102 [=========================>....] - ETA: 0s - loss: 0.4831 - acc: 0.7557
102/102 [==============================] - 0s 4ms/step - loss: 0.4832 - acc: 0.7569
102/102 [==============================] - 1s 6ms/step - loss: 0.4832 - acc: 0.7569 - val_loss: 0.4871 - val_acc: 0.7531
Epoch 27/30
1/102 [..............................] - ETA: 0s - loss: 0.6116 - acc: 0.6600
16/102 [===>..........................] - ETA: 0s - loss: 0.4875 - acc: 0.7250
34/102 [=========>....................] - ETA: 0s - loss: 0.4829 - acc: 0.7488
52/102 [==============>...............] - ETA: 0s - loss: 0.4819 - acc: 0.7515
66/102 [==================>...........] - ETA: 0s - loss: 0.4726 - acc: 0.7588
79/102 [======================>.......] - ETA: 0s - loss: 0.4784 - acc: 0.7582
97/102 [===========================>..] - ETA: 0s - loss: 0.4772 - acc: 0.7592
102/102 [==============================] - 0s 3ms/step - loss: 0.4836 - acc: 0.7566
102/102 [==============================] - 1s 6ms/step - loss: 0.4836 - acc: 0.7566 - val_loss: 0.5002 - val_acc: 0.7442
Epoch 28/30
1/102 [..............................] - ETA: 0s - loss: 0.4109 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.4811 - acc: 0.7341
29/102 [=======>......................] - ETA: 0s - loss: 0.4943 - acc: 0.7338
46/102 [============>.................] - ETA: 0s - loss: 0.4825 - acc: 0.7561
64/102 [=================>............] - ETA: 0s - loss: 0.4835 - acc: 0.7544
79/102 [======================>.......] - ETA: 0s - loss: 0.4802 - acc: 0.7567
96/102 [===========================>..] - ETA: 0s - loss: 0.4874 - acc: 0.7535
102/102 [==============================] - 0s 3ms/step - loss: 0.4856 - acc: 0.7530
102/102 [==============================] - 1s 5ms/step - loss: 0.4856 - acc: 0.7530 - val_loss: 0.5106 - val_acc: 0.7407
Epoch 29/30
1/102 [..............................] - ETA: 0s - loss: 0.3324 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.4997 - acc: 0.7350
23/102 [=====>........................] - ETA: 0s - loss: 0.5012 - acc: 0.7235
37/102 [=========>....................] - ETA: 0s - loss: 0.4827 - acc: 0.7395
53/102 [==============>...............] - ETA: 0s - loss: 0.4792 - acc: 0.7483
67/102 [==================>...........] - ETA: 0s - loss: 0.4895 - acc: 0.7439
84/102 [=======================>......] - ETA: 0s - loss: 0.4871 - acc: 0.7486
99/102 [============================>.] - ETA: 0s - loss: 0.4836 - acc: 0.7535
102/102 [==============================] - 0s 4ms/step - loss: 0.4838 - acc: 0.7532
102/102 [==============================] - 1s 6ms/step - loss: 0.4838 - acc: 0.7532 - val_loss: 0.4965 - val_acc: 0.7478
Run completed: runs/2024-05-06T19-45-28Z
Training run 35/52 (flags = list(32, 16, 0.001, 20, 50, "relu", "tanh", 0.5, 0.5))
Using run directory runs/2024-05-06T19-45-49Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:29 - loss: 0.6280 - acc: 0.8000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
20/254 [=>............................] - ETA: 0s - loss: 0.8857 - acc: 0.4750
38/254 [===>..........................] - ETA: 0s - loss: 0.8536 - acc: 0.5000
57/254 [=====>........................] - ETA: 0s - loss: 0.8093 - acc: 0.5360
76/254 [=======>......................] - ETA: 0s - loss: 0.7768 - acc: 0.5467
93/254 [=========>....................] - ETA: 0s - loss: 0.7619 - acc: 0.5548
112/254 [============>.................] - ETA: 0s - loss: 0.7385 - acc: 0.5661
130/254 [==============>...............] - ETA: 0s - loss: 0.7235 - acc: 0.5735
136/254 [===============>..............] - ETA: 0s - loss: 0.7243 - acc: 0.5772
144/254 [================>.............] - ETA: 0s - loss: 0.7241 - acc: 0.5781
162/254 [==================>...........] - ETA: 0s - loss: 0.7018 - acc: 0.5951
180/254 [====================>.........] - ETA: 0s - loss: 0.6879 - acc: 0.6044
199/254 [======================>.......] - ETA: 0s - loss: 0.6846 - acc: 0.6136
216/254 [========================>.....] - ETA: 0s - loss: 0.6772 - acc: 0.6208
234/254 [==========================>...] - ETA: 0s - loss: 0.6676 - acc: 0.6276
253/254 [============================>.] - ETA: 0s - loss: 0.6604 - acc: 0.6320
254/254 [==============================] - 2s 3ms/step - loss: 0.6605 - acc: 0.6320
254/254 [==============================] - 3s 6ms/step - loss: 0.6605 - acc: 0.6320 - val_loss: 0.4973 - val_acc: 0.7425
Epoch 2/50
1/254 [..............................] - ETA: 1s - loss: 0.6808 - acc: 0.8500
15/254 [>.............................] - ETA: 0s - loss: 0.5495 - acc: 0.6933
31/254 [==>...........................] - ETA: 0s - loss: 0.5515 - acc: 0.6984
45/254 [====>.........................] - ETA: 0s - loss: 0.5459 - acc: 0.7056
60/254 [======>.......................] - ETA: 0s - loss: 0.5479 - acc: 0.7075
77/254 [========>.....................] - ETA: 0s - loss: 0.5585 - acc: 0.7052
97/254 [==========>...................] - ETA: 0s - loss: 0.5697 - acc: 0.7005
112/254 [============>.................] - ETA: 0s - loss: 0.5754 - acc: 0.6942
120/254 [=============>................] - ETA: 0s - loss: 0.5771 - acc: 0.6921
139/254 [===============>..............] - ETA: 0s - loss: 0.5730 - acc: 0.6932
158/254 [=================>............] - ETA: 0s - loss: 0.5694 - acc: 0.7003
176/254 [===================>..........] - ETA: 0s - loss: 0.5649 - acc: 0.7037
192/254 [=====================>........] - ETA: 0s - loss: 0.5713 - acc: 0.7013
206/254 [=======================>......] - ETA: 0s - loss: 0.5672 - acc: 0.7027
222/254 [=========================>....] - ETA: 0s - loss: 0.5645 - acc: 0.7045
240/254 [===========================>..] - ETA: 0s - loss: 0.5601 - acc: 0.7042
254/254 [==============================] - 1s 3ms/step - loss: 0.5536 - acc: 0.7077
254/254 [==============================] - 1s 4ms/step - loss: 0.5536 - acc: 0.7077 - val_loss: 0.4837 - val_acc: 0.7496
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.4649 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5686 - acc: 0.7395
39/254 [===>..........................] - ETA: 0s - loss: 0.5516 - acc: 0.7244
58/254 [=====>........................] - ETA: 0s - loss: 0.5497 - acc: 0.7233
76/254 [=======>......................] - ETA: 0s - loss: 0.5472 - acc: 0.7197
94/254 [==========>...................] - ETA: 0s - loss: 0.5476 - acc: 0.7213
113/254 [============>.................] - ETA: 0s - loss: 0.5418 - acc: 0.7208
125/254 [=============>................] - ETA: 0s - loss: 0.5381 - acc: 0.7220
141/254 [===============>..............] - ETA: 0s - loss: 0.5426 - acc: 0.7223
154/254 [=================>............] - ETA: 0s - loss: 0.5384 - acc: 0.7218
172/254 [===================>..........] - ETA: 0s - loss: 0.5331 - acc: 0.7256
187/254 [=====================>........] - ETA: 0s - loss: 0.5285 - acc: 0.7286
200/254 [======================>.......] - ETA: 0s - loss: 0.5316 - acc: 0.7295
210/254 [=======================>......] - ETA: 0s - loss: 0.5280 - acc: 0.7302
229/254 [==========================>...] - ETA: 0s - loss: 0.5272 - acc: 0.7310
248/254 [============================>.] - ETA: 0s - loss: 0.5268 - acc: 0.7288
254/254 [==============================] - 1s 3ms/step - loss: 0.5268 - acc: 0.7294
254/254 [==============================] - 1s 5ms/step - loss: 0.5268 - acc: 0.7294 - val_loss: 0.4806 - val_acc: 0.7531
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.4397 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4882 - acc: 0.7500
39/254 [===>..........................] - ETA: 0s - loss: 0.5049 - acc: 0.7462
49/254 [====>.........................] - ETA: 0s - loss: 0.4941 - acc: 0.7510
60/254 [======>.......................] - ETA: 0s - loss: 0.5037 - acc: 0.7442
70/254 [=======>......................] - ETA: 0s - loss: 0.5070 - acc: 0.7443
88/254 [=========>....................] - ETA: 0s - loss: 0.5107 - acc: 0.7284
101/254 [==========>...................] - ETA: 0s - loss: 0.5135 - acc: 0.7257
119/254 [=============>................] - ETA: 0s - loss: 0.5110 - acc: 0.7256
135/254 [==============>...............] - ETA: 0s - loss: 0.5184 - acc: 0.7256
153/254 [=================>............] - ETA: 0s - loss: 0.5183 - acc: 0.7222
172/254 [===================>..........] - ETA: 0s - loss: 0.5214 - acc: 0.7256
192/254 [=====================>........] - ETA: 0s - loss: 0.5235 - acc: 0.7237
211/254 [=======================>......] - ETA: 0s - loss: 0.5218 - acc: 0.7227
229/254 [==========================>...] - ETA: 0s - loss: 0.5189 - acc: 0.7242
244/254 [===========================>..] - ETA: 0s - loss: 0.5195 - acc: 0.7236
254/254 [==============================] - 1s 3ms/step - loss: 0.5173 - acc: 0.7250
254/254 [==============================] - 1s 4ms/step - loss: 0.5173 - acc: 0.7250 - val_loss: 0.4852 - val_acc: 0.7478
Epoch 5/50
1/254 [..............................] - ETA: 0s - loss: 0.3218 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5629 - acc: 0.7105
38/254 [===>..........................] - ETA: 0s - loss: 0.5295 - acc: 0.7263
56/254 [=====>........................] - ETA: 0s - loss: 0.5306 - acc: 0.7277
73/254 [=======>......................] - ETA: 0s - loss: 0.5296 - acc: 0.7199
90/254 [=========>....................] - ETA: 0s - loss: 0.5342 - acc: 0.7144
107/254 [===========>..................] - ETA: 0s - loss: 0.5245 - acc: 0.7150
126/254 [=============>................] - ETA: 0s - loss: 0.5248 - acc: 0.7226
141/254 [===============>..............] - ETA: 0s - loss: 0.5218 - acc: 0.7255
147/254 [================>.............] - ETA: 0s - loss: 0.5196 - acc: 0.7255
165/254 [==================>...........] - ETA: 0s - loss: 0.5114 - acc: 0.7309
175/254 [===================>..........] - ETA: 0s - loss: 0.5100 - acc: 0.7323
192/254 [=====================>........] - ETA: 0s - loss: 0.5192 - acc: 0.7286
210/254 [=======================>......] - ETA: 0s - loss: 0.5178 - acc: 0.7255
226/254 [=========================>....] - ETA: 0s - loss: 0.5170 - acc: 0.7250
243/254 [===========================>..] - ETA: 0s - loss: 0.5147 - acc: 0.7288
254/254 [==============================] - 1s 3ms/step - loss: 0.5140 - acc: 0.7305
254/254 [==============================] - 1s 4ms/step - loss: 0.5140 - acc: 0.7305 - val_loss: 0.4771 - val_acc: 0.7602
Epoch 6/50
1/254 [..............................] - ETA: 1s - loss: 0.8177 - acc: 0.6000
15/254 [>.............................] - ETA: 0s - loss: 0.5275 - acc: 0.7133
33/254 [==>...........................] - ETA: 0s - loss: 0.5015 - acc: 0.7258
52/254 [=====>........................] - ETA: 0s - loss: 0.5002 - acc: 0.7106
64/254 [======>.......................] - ETA: 0s - loss: 0.5054 - acc: 0.7063
68/254 [=======>......................] - ETA: 0s - loss: 0.5001 - acc: 0.7096
86/254 [=========>....................] - ETA: 0s - loss: 0.5116 - acc: 0.7145
95/254 [==========>...................] - ETA: 0s - loss: 0.5108 - acc: 0.7142
113/254 [============>.................] - ETA: 0s - loss: 0.5102 - acc: 0.7159
123/254 [=============>................] - ETA: 0s - loss: 0.5077 - acc: 0.7154
140/254 [===============>..............] - ETA: 0s - loss: 0.5048 - acc: 0.7204
159/254 [=================>............] - ETA: 0s - loss: 0.5044 - acc: 0.7214
174/254 [===================>..........] - ETA: 0s - loss: 0.5033 - acc: 0.7273
192/254 [=====================>........] - ETA: 0s - loss: 0.5042 - acc: 0.7273
210/254 [=======================>......] - ETA: 0s - loss: 0.5021 - acc: 0.7295
230/254 [==========================>...] - ETA: 0s - loss: 0.5051 - acc: 0.7291
249/254 [============================>.] - ETA: 0s - loss: 0.5063 - acc: 0.7283
254/254 [==============================] - 1s 3ms/step - loss: 0.5067 - acc: 0.7276
254/254 [==============================] - 1s 4ms/step - loss: 0.5067 - acc: 0.7276 - val_loss: 0.4868 - val_acc: 0.7513
Epoch 7/50
1/254 [..............................] - ETA: 1s - loss: 0.4797 - acc: 0.6500
16/254 [>.............................] - ETA: 0s - loss: 0.4707 - acc: 0.7375
34/254 [===>..........................] - ETA: 0s - loss: 0.4822 - acc: 0.7324
52/254 [=====>........................] - ETA: 0s - loss: 0.4998 - acc: 0.7288
69/254 [=======>......................] - ETA: 0s - loss: 0.5044 - acc: 0.7275
85/254 [=========>....................] - ETA: 0s - loss: 0.5093 - acc: 0.7188
104/254 [===========>..................] - ETA: 0s - loss: 0.5082 - acc: 0.7226
122/254 [=============>................] - ETA: 0s - loss: 0.5052 - acc: 0.7266
138/254 [===============>..............] - ETA: 0s - loss: 0.5135 - acc: 0.7228
156/254 [=================>............] - ETA: 0s - loss: 0.5080 - acc: 0.7253
175/254 [===================>..........] - ETA: 0s - loss: 0.5046 - acc: 0.7274
194/254 [=====================>........] - ETA: 0s - loss: 0.5021 - acc: 0.7273
212/254 [========================>.....] - ETA: 0s - loss: 0.4996 - acc: 0.7278
229/254 [==========================>...] - ETA: 0s - loss: 0.5045 - acc: 0.7242
247/254 [============================>.] - ETA: 0s - loss: 0.5082 - acc: 0.7223
254/254 [==============================] - 1s 3ms/step - loss: 0.5067 - acc: 0.7248
254/254 [==============================] - 1s 4ms/step - loss: 0.5067 - acc: 0.7248 - val_loss: 0.4702 - val_acc: 0.7602
Epoch 8/50
1/254 [..............................] - ETA: 0s - loss: 0.4464 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5563 - acc: 0.7472
37/254 [===>..........................] - ETA: 0s - loss: 0.5344 - acc: 0.7432
56/254 [=====>........................] - ETA: 0s - loss: 0.5233 - acc: 0.7402
74/254 [=======>......................] - ETA: 0s - loss: 0.5143 - acc: 0.7351
91/254 [=========>....................] - ETA: 0s - loss: 0.5133 - acc: 0.7440
108/254 [===========>..................] - ETA: 0s - loss: 0.5123 - acc: 0.7375
128/254 [==============>...............] - ETA: 0s - loss: 0.5071 - acc: 0.7437
146/254 [================>.............] - ETA: 0s - loss: 0.5013 - acc: 0.7459
163/254 [==================>...........] - ETA: 0s - loss: 0.5002 - acc: 0.7429
180/254 [====================>.........] - ETA: 0s - loss: 0.5051 - acc: 0.7411
196/254 [======================>.......] - ETA: 0s - loss: 0.5109 - acc: 0.7367
213/254 [========================>.....] - ETA: 0s - loss: 0.5110 - acc: 0.7319
230/254 [==========================>...] - ETA: 0s - loss: 0.5097 - acc: 0.7317
249/254 [============================>.] - ETA: 0s - loss: 0.5106 - acc: 0.7289
254/254 [==============================] - 1s 3ms/step - loss: 0.5101 - acc: 0.7272
254/254 [==============================] - 1s 5ms/step - loss: 0.5101 - acc: 0.7272 - val_loss: 0.4841 - val_acc: 0.7442
Epoch 9/50
1/254 [..............................] - ETA: 1s - loss: 0.6407 - acc: 0.6500
17/254 [=>............................] - ETA: 0s - loss: 0.4661 - acc: 0.7382
34/254 [===>..........................] - ETA: 0s - loss: 0.4744 - acc: 0.7324
53/254 [=====>........................] - ETA: 0s - loss: 0.4882 - acc: 0.7434
72/254 [=======>......................] - ETA: 0s - loss: 0.4832 - acc: 0.7493
90/254 [=========>....................] - ETA: 0s - loss: 0.4994 - acc: 0.7322
107/254 [===========>..................] - ETA: 0s - loss: 0.5058 - acc: 0.7280
124/254 [=============>................] - ETA: 0s - loss: 0.5086 - acc: 0.7274
142/254 [===============>..............] - ETA: 0s - loss: 0.5105 - acc: 0.7264
160/254 [=================>............] - ETA: 0s - loss: 0.5032 - acc: 0.7303
180/254 [====================>.........] - ETA: 0s - loss: 0.4981 - acc: 0.7325
198/254 [======================>.......] - ETA: 0s - loss: 0.4975 - acc: 0.7316
215/254 [========================>.....] - ETA: 0s - loss: 0.5039 - acc: 0.7253
231/254 [==========================>...] - ETA: 0s - loss: 0.5029 - acc: 0.7262
243/254 [===========================>..] - ETA: 0s - loss: 0.5005 - acc: 0.7247
254/254 [==============================] - 1s 3ms/step - loss: 0.5040 - acc: 0.7248
254/254 [==============================] - 1s 4ms/step - loss: 0.5040 - acc: 0.7248 - val_loss: 0.4774 - val_acc: 0.7460
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.3919 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.5156 - acc: 0.7474
39/254 [===>..........................] - ETA: 0s - loss: 0.4980 - acc: 0.7359
58/254 [=====>........................] - ETA: 0s - loss: 0.5148 - acc: 0.7302
76/254 [=======>......................] - ETA: 0s - loss: 0.5058 - acc: 0.7243
95/254 [==========>...................] - ETA: 0s - loss: 0.5016 - acc: 0.7263
113/254 [============>.................] - ETA: 0s - loss: 0.5022 - acc: 0.7292
132/254 [==============>...............] - ETA: 0s - loss: 0.5020 - acc: 0.7277
152/254 [================>.............] - ETA: 0s - loss: 0.4981 - acc: 0.7260
171/254 [===================>..........] - ETA: 0s - loss: 0.4947 - acc: 0.7298
189/254 [=====================>........] - ETA: 0s - loss: 0.4996 - acc: 0.7259
207/254 [=======================>......] - ETA: 0s - loss: 0.4965 - acc: 0.7297
224/254 [=========================>....] - ETA: 0s - loss: 0.4981 - acc: 0.7281
232/254 [==========================>...] - ETA: 0s - loss: 0.4971 - acc: 0.7278
246/254 [============================>.] - ETA: 0s - loss: 0.4984 - acc: 0.7283
254/254 [==============================] - 1s 3ms/step - loss: 0.5000 - acc: 0.7262
254/254 [==============================] - 1s 4ms/step - loss: 0.5000 - acc: 0.7262 - val_loss: 0.4752 - val_acc: 0.7549
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.4470 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4809 - acc: 0.7222
36/254 [===>..........................] - ETA: 0s - loss: 0.5257 - acc: 0.7236
55/254 [=====>........................] - ETA: 0s - loss: 0.5269 - acc: 0.7245
72/254 [=======>......................] - ETA: 0s - loss: 0.5339 - acc: 0.7194
90/254 [=========>....................] - ETA: 0s - loss: 0.5271 - acc: 0.7167
108/254 [===========>..................] - ETA: 0s - loss: 0.5187 - acc: 0.7162
127/254 [==============>...............] - ETA: 0s - loss: 0.5071 - acc: 0.7217
146/254 [================>.............] - ETA: 0s - loss: 0.5057 - acc: 0.7226
165/254 [==================>...........] - ETA: 0s - loss: 0.4993 - acc: 0.7282
184/254 [====================>.........] - ETA: 0s - loss: 0.4996 - acc: 0.7283
185/254 [====================>.........] - ETA: 0s - loss: 0.5008 - acc: 0.7286
190/254 [=====================>........] - ETA: 0s - loss: 0.5030 - acc: 0.7287
202/254 [======================>.......] - ETA: 0s - loss: 0.4983 - acc: 0.7300
207/254 [=======================>......] - ETA: 0s - loss: 0.4982 - acc: 0.7295
226/254 [=========================>....] - ETA: 0s - loss: 0.4964 - acc: 0.7312
238/254 [===========================>..] - ETA: 0s - loss: 0.4971 - acc: 0.7313
254/254 [==============================] - 1s 4ms/step - loss: 0.4973 - acc: 0.7333
254/254 [==============================] - 1s 5ms/step - loss: 0.4973 - acc: 0.7333 - val_loss: 0.4807 - val_acc: 0.7549
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.3783 - acc: 0.8000
21/254 [=>............................] - ETA: 0s - loss: 0.5134 - acc: 0.7119
39/254 [===>..........................] - ETA: 0s - loss: 0.4870 - acc: 0.7372
57/254 [=====>........................] - ETA: 0s - loss: 0.4831 - acc: 0.7421
75/254 [=======>......................] - ETA: 0s - loss: 0.4924 - acc: 0.7313
95/254 [==========>...................] - ETA: 0s - loss: 0.4894 - acc: 0.7242
113/254 [============>.................] - ETA: 0s - loss: 0.4998 - acc: 0.7257
131/254 [==============>...............] - ETA: 0s - loss: 0.4959 - acc: 0.7263
147/254 [================>.............] - ETA: 0s - loss: 0.4957 - acc: 0.7241
164/254 [==================>...........] - ETA: 0s - loss: 0.4950 - acc: 0.7268
174/254 [===================>..........] - ETA: 0s - loss: 0.4983 - acc: 0.7270
184/254 [====================>.........] - ETA: 0s - loss: 0.4970 - acc: 0.7280
201/254 [======================>.......] - ETA: 0s - loss: 0.4963 - acc: 0.7261
220/254 [========================>.....] - ETA: 0s - loss: 0.4943 - acc: 0.7259
236/254 [==========================>...] - ETA: 0s - loss: 0.4944 - acc: 0.7280
254/254 [==============================] - 1s 3ms/step - loss: 0.4951 - acc: 0.7290
254/254 [==============================] - 1s 4ms/step - loss: 0.4951 - acc: 0.7290 - val_loss: 0.4817 - val_acc: 0.7531
Epoch 13/50
1/254 [..............................] - ETA: 0s - loss: 1.2604 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.5801 - acc: 0.6816
39/254 [===>..........................] - ETA: 0s - loss: 0.5586 - acc: 0.7051
58/254 [=====>........................] - ETA: 0s - loss: 0.5440 - acc: 0.7017
76/254 [=======>......................] - ETA: 0s - loss: 0.5242 - acc: 0.7118
94/254 [==========>...................] - ETA: 0s - loss: 0.5217 - acc: 0.7112
112/254 [============>.................] - ETA: 0s - loss: 0.5154 - acc: 0.7116
132/254 [==============>...............] - ETA: 0s - loss: 0.5165 - acc: 0.7144
151/254 [================>.............] - ETA: 0s - loss: 0.5141 - acc: 0.7182
163/254 [==================>...........] - ETA: 0s - loss: 0.5132 - acc: 0.7193
176/254 [===================>..........] - ETA: 0s - loss: 0.5120 - acc: 0.7210
194/254 [=====================>........] - ETA: 0s - loss: 0.5092 - acc: 0.7224
210/254 [=======================>......] - ETA: 0s - loss: 0.5040 - acc: 0.7257
230/254 [==========================>...] - ETA: 0s - loss: 0.5023 - acc: 0.7309
248/254 [============================>.] - ETA: 0s - loss: 0.5017 - acc: 0.7317
254/254 [==============================] - 1s 3ms/step - loss: 0.5042 - acc: 0.7335
254/254 [==============================] - 1s 4ms/step - loss: 0.5042 - acc: 0.7335 - val_loss: 0.4841 - val_acc: 0.7478
Epoch 14/50
1/254 [..............................] - ETA: 0s - loss: 0.3669 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4090 - acc: 0.7583
38/254 [===>..........................] - ETA: 0s - loss: 0.4651 - acc: 0.7474
56/254 [=====>........................] - ETA: 0s - loss: 0.4795 - acc: 0.7339
73/254 [=======>......................] - ETA: 0s - loss: 0.4845 - acc: 0.7342
91/254 [=========>....................] - ETA: 0s - loss: 0.4789 - acc: 0.7374
107/254 [===========>..................] - ETA: 0s - loss: 0.4762 - acc: 0.7397
115/254 [============>.................] - ETA: 0s - loss: 0.4777 - acc: 0.7404
117/254 [============>.................] - ETA: 0s - loss: 0.4768 - acc: 0.7415
136/254 [===============>..............] - ETA: 0s - loss: 0.4742 - acc: 0.7467
151/254 [================>.............] - ETA: 0s - loss: 0.4813 - acc: 0.7477
171/254 [===================>..........] - ETA: 0s - loss: 0.4876 - acc: 0.7474
191/254 [=====================>........] - ETA: 0s - loss: 0.4913 - acc: 0.7429
207/254 [=======================>......] - ETA: 0s - loss: 0.4949 - acc: 0.7391
218/254 [========================>.....] - ETA: 0s - loss: 0.4936 - acc: 0.7388
236/254 [==========================>...] - ETA: 0s - loss: 0.4948 - acc: 0.7411
245/254 [===========================>..] - ETA: 0s - loss: 0.4975 - acc: 0.7392
254/254 [==============================] - 1s 3ms/step - loss: 0.4977 - acc: 0.7384
254/254 [==============================] - 1s 4ms/step - loss: 0.4977 - acc: 0.7384 - val_loss: 0.4851 - val_acc: 0.7442
Epoch 15/50
1/254 [..............................] - ETA: 0s - loss: 0.4331 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4919 - acc: 0.7222
36/254 [===>..........................] - ETA: 0s - loss: 0.4851 - acc: 0.7250
55/254 [=====>........................] - ETA: 0s - loss: 0.4863 - acc: 0.7191
72/254 [=======>......................] - ETA: 0s - loss: 0.4787 - acc: 0.7229
89/254 [=========>....................] - ETA: 0s - loss: 0.4786 - acc: 0.7213
103/254 [===========>..................] - ETA: 0s - loss: 0.4851 - acc: 0.7238
117/254 [============>.................] - ETA: 0s - loss: 0.4868 - acc: 0.7274
129/254 [==============>...............] - ETA: 0s - loss: 0.4897 - acc: 0.7279
146/254 [================>.............] - ETA: 0s - loss: 0.4899 - acc: 0.7271
166/254 [==================>...........] - ETA: 0s - loss: 0.4872 - acc: 0.7268
184/254 [====================>.........] - ETA: 0s - loss: 0.4906 - acc: 0.7288
201/254 [======================>.......] - ETA: 0s - loss: 0.4862 - acc: 0.7326
218/254 [========================>.....] - ETA: 0s - loss: 0.4895 - acc: 0.7333
235/254 [==========================>...] - ETA: 0s - loss: 0.4929 - acc: 0.7313
253/254 [============================>.] - ETA: 0s - loss: 0.4933 - acc: 0.7304
254/254 [==============================] - 1s 3ms/step - loss: 0.4928 - acc: 0.7307
254/254 [==============================] - 1s 4ms/step - loss: 0.4928 - acc: 0.7307 - val_loss: 0.4772 - val_acc: 0.7496
Epoch 16/50
1/254 [..............................] - ETA: 1s - loss: 0.3686 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4876 - acc: 0.7368
38/254 [===>..........................] - ETA: 0s - loss: 0.4991 - acc: 0.7289
57/254 [=====>........................] - ETA: 0s - loss: 0.4970 - acc: 0.7439
75/254 [=======>......................] - ETA: 0s - loss: 0.4980 - acc: 0.7387
91/254 [=========>....................] - ETA: 0s - loss: 0.5011 - acc: 0.7357
104/254 [===========>..................] - ETA: 0s - loss: 0.5047 - acc: 0.7361
116/254 [============>.................] - ETA: 0s - loss: 0.5075 - acc: 0.7375
129/254 [==============>...............] - ETA: 0s - loss: 0.5104 - acc: 0.7360
148/254 [================>.............] - ETA: 0s - loss: 0.5122 - acc: 0.7338
167/254 [==================>...........] - ETA: 0s - loss: 0.5076 - acc: 0.7353
182/254 [====================>.........] - ETA: 0s - loss: 0.5087 - acc: 0.7357
200/254 [======================>.......] - ETA: 0s - loss: 0.5099 - acc: 0.7333
213/254 [========================>.....] - ETA: 0s - loss: 0.5070 - acc: 0.7359
232/254 [==========================>...] - ETA: 0s - loss: 0.5084 - acc: 0.7362
250/254 [============================>.] - ETA: 0s - loss: 0.5063 - acc: 0.7370
252/254 [============================>.] - ETA: 0s - loss: 0.5054 - acc: 0.7373
254/254 [==============================] - 1s 3ms/step - loss: 0.5042 - acc: 0.7382
254/254 [==============================] - 1s 5ms/step - loss: 0.5042 - acc: 0.7382 - val_loss: 0.4813 - val_acc: 0.7442
Epoch 17/50
1/254 [..............................] - ETA: 1s - loss: 0.3137 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5043 - acc: 0.7472
25/254 [=>............................] - ETA: 0s - loss: 0.5010 - acc: 0.7480
39/254 [===>..........................] - ETA: 0s - loss: 0.4753 - acc: 0.7500
59/254 [=====>........................] - ETA: 0s - loss: 0.4690 - acc: 0.7525
65/254 [======>.......................] - ETA: 0s - loss: 0.4722 - acc: 0.7523
83/254 [========>.....................] - ETA: 0s - loss: 0.4887 - acc: 0.7512
103/254 [===========>..................] - ETA: 0s - loss: 0.4827 - acc: 0.7515
121/254 [=============>................] - ETA: 0s - loss: 0.4813 - acc: 0.7438
140/254 [===============>..............] - ETA: 0s - loss: 0.4882 - acc: 0.7400
159/254 [=================>............] - ETA: 0s - loss: 0.4914 - acc: 0.7346
177/254 [===================>..........] - ETA: 0s - loss: 0.4863 - acc: 0.7347
196/254 [======================>.......] - ETA: 0s - loss: 0.4856 - acc: 0.7327
214/254 [========================>.....] - ETA: 0s - loss: 0.4894 - acc: 0.7329
231/254 [==========================>...] - ETA: 0s - loss: 0.4913 - acc: 0.7331
248/254 [============================>.] - ETA: 0s - loss: 0.4928 - acc: 0.7302
254/254 [==============================] - 1s 3ms/step - loss: 0.4914 - acc: 0.7309
254/254 [==============================] - 1s 4ms/step - loss: 0.4914 - acc: 0.7309 - val_loss: 0.4861 - val_acc: 0.7407
Run completed: runs/2024-05-06T19-45-49Z
Training run 36/52 (flags = list(32, 32, 0.001, 50, 30, "relu", "sigmoid", 0.2, 0.2))
Using run directory runs/2024-05-06T19-46-10Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:02 - loss: 0.7474 - acc: 0.4800
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
17/102 [====>.........................] - ETA: 0s - loss: 0.7307 - acc: 0.5047
23/102 [=====>........................] - ETA: 0s - loss: 0.7190 - acc: 0.5148
30/102 [=======>......................] - ETA: 0s - loss: 0.7025 - acc: 0.5420
47/102 [============>.................] - ETA: 0s - loss: 0.6729 - acc: 0.5877
59/102 [================>.............] - ETA: 0s - loss: 0.6667 - acc: 0.6047
76/102 [=====================>........] - ETA: 0s - loss: 0.6494 - acc: 0.6274
90/102 [=========================>....] - ETA: 0s - loss: 0.6321 - acc: 0.6402
102/102 [==============================] - 2s 4ms/step - loss: 0.6237 - acc: 0.6487
102/102 [==============================] - 2s 12ms/step - loss: 0.6237 - acc: 0.6487 - val_loss: 0.4978 - val_acc: 0.7638
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.5060 - acc: 0.6800
15/102 [===>..........................] - ETA: 0s - loss: 0.5315 - acc: 0.7360
32/102 [========>.....................] - ETA: 0s - loss: 0.5338 - acc: 0.7262
44/102 [===========>..................] - ETA: 0s - loss: 0.5269 - acc: 0.7391
58/102 [================>.............] - ETA: 0s - loss: 0.5336 - acc: 0.7372
73/102 [====================>.........] - ETA: 0s - loss: 0.5302 - acc: 0.7364
89/102 [=========================>....] - ETA: 0s - loss: 0.5287 - acc: 0.7398
94/102 [==========================>...] - ETA: 0s - loss: 0.5256 - acc: 0.7417
102/102 [==============================] - 0s 4ms/step - loss: 0.5204 - acc: 0.7430
102/102 [==============================] - 1s 6ms/step - loss: 0.5204 - acc: 0.7430 - val_loss: 0.5010 - val_acc: 0.7549
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.5635 - acc: 0.7000
12/102 [==>...........................] - ETA: 0s - loss: 0.5217 - acc: 0.7500
14/102 [===>..........................] - ETA: 0s - loss: 0.5262 - acc: 0.7486
24/102 [======>.......................] - ETA: 0s - loss: 0.5257 - acc: 0.7275
42/102 [===========>..................] - ETA: 0s - loss: 0.5252 - acc: 0.7305
60/102 [================>.............] - ETA: 0s - loss: 0.5179 - acc: 0.7423
79/102 [======================>.......] - ETA: 0s - loss: 0.5134 - acc: 0.7504
96/102 [===========================>..] - ETA: 0s - loss: 0.5092 - acc: 0.7467
102/102 [==============================] - 0s 4ms/step - loss: 0.5102 - acc: 0.7465
102/102 [==============================] - 1s 8ms/step - loss: 0.5102 - acc: 0.7465 - val_loss: 0.4773 - val_acc: 0.7673
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.2914 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.4937 - acc: 0.7700
32/102 [========>.....................] - ETA: 0s - loss: 0.4886 - acc: 0.7663
50/102 [=============>................] - ETA: 0s - loss: 0.4989 - acc: 0.7540
68/102 [===================>..........] - ETA: 0s - loss: 0.5007 - acc: 0.7568
85/102 [========================>.....] - ETA: 0s - loss: 0.4988 - acc: 0.7553
102/102 [==============================] - 0s 3ms/step - loss: 0.4986 - acc: 0.7566
102/102 [==============================] - 1s 6ms/step - loss: 0.4986 - acc: 0.7566 - val_loss: 0.4774 - val_acc: 0.7673
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.3936 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.4864 - acc: 0.7500
37/102 [=========>....................] - ETA: 0s - loss: 0.4884 - acc: 0.7541
55/102 [===============>..............] - ETA: 0s - loss: 0.4951 - acc: 0.7553
73/102 [====================>.........] - ETA: 0s - loss: 0.4991 - acc: 0.7515
91/102 [=========================>....] - ETA: 0s - loss: 0.4962 - acc: 0.7514
102/102 [==============================] - 0s 3ms/step - loss: 0.4963 - acc: 0.7524
102/102 [==============================] - 1s 6ms/step - loss: 0.4963 - acc: 0.7524 - val_loss: 0.4888 - val_acc: 0.7602
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.4144 - acc: 0.8200
17/102 [====>.........................] - ETA: 0s - loss: 0.5085 - acc: 0.7482
34/102 [=========>....................] - ETA: 0s - loss: 0.5001 - acc: 0.7512
51/102 [==============>...............] - ETA: 0s - loss: 0.5052 - acc: 0.7514
63/102 [=================>............] - ETA: 0s - loss: 0.5011 - acc: 0.7552
79/102 [======================>.......] - ETA: 0s - loss: 0.5065 - acc: 0.7478
96/102 [===========================>..] - ETA: 0s - loss: 0.4984 - acc: 0.7515
102/102 [==============================] - 0s 3ms/step - loss: 0.4973 - acc: 0.7516
102/102 [==============================] - 1s 5ms/step - loss: 0.4973 - acc: 0.7516 - val_loss: 0.4690 - val_acc: 0.7744
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.3751 - acc: 0.8200
19/102 [====>.........................] - ETA: 0s - loss: 0.4924 - acc: 0.7568
38/102 [==========>...................] - ETA: 0s - loss: 0.4974 - acc: 0.7500
56/102 [===============>..............] - ETA: 0s - loss: 0.5053 - acc: 0.7461
72/102 [====================>.........] - ETA: 0s - loss: 0.5077 - acc: 0.7433
90/102 [=========================>....] - ETA: 0s - loss: 0.4990 - acc: 0.7498
102/102 [==============================] - 0s 3ms/step - loss: 0.4945 - acc: 0.7514
102/102 [==============================] - 1s 5ms/step - loss: 0.4945 - acc: 0.7514 - val_loss: 0.4755 - val_acc: 0.7673
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.5045 - acc: 0.7400
12/102 [==>...........................] - ETA: 0s - loss: 0.5369 - acc: 0.7533
29/102 [=======>......................] - ETA: 0s - loss: 0.5104 - acc: 0.7428
38/102 [==========>...................] - ETA: 0s - loss: 0.5017 - acc: 0.7432
46/102 [============>.................] - ETA: 0s - loss: 0.5001 - acc: 0.7422
61/102 [================>.............] - ETA: 0s - loss: 0.4892 - acc: 0.7482
75/102 [=====================>........] - ETA: 0s - loss: 0.4849 - acc: 0.7504
93/102 [==========================>...] - ETA: 0s - loss: 0.4926 - acc: 0.7482
102/102 [==============================] - 0s 5ms/step - loss: 0.4922 - acc: 0.7495
102/102 [==============================] - 1s 8ms/step - loss: 0.4922 - acc: 0.7495 - val_loss: 0.5031 - val_acc: 0.7531
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.5026 - acc: 0.7200
16/102 [===>..........................] - ETA: 0s - loss: 0.4690 - acc: 0.7650
33/102 [========>.....................] - ETA: 0s - loss: 0.4871 - acc: 0.7533
50/102 [=============>................] - ETA: 0s - loss: 0.4900 - acc: 0.7488
67/102 [==================>...........] - ETA: 0s - loss: 0.4831 - acc: 0.7564
83/102 [=======================>......] - ETA: 0s - loss: 0.4900 - acc: 0.7561
100/102 [============================>.] - ETA: 0s - loss: 0.4940 - acc: 0.7520
102/102 [==============================] - 0s 3ms/step - loss: 0.4939 - acc: 0.7520
102/102 [==============================] - 1s 6ms/step - loss: 0.4939 - acc: 0.7520 - val_loss: 0.4948 - val_acc: 0.7478
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.4169 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.4941 - acc: 0.7333
35/102 [=========>....................] - ETA: 0s - loss: 0.4911 - acc: 0.7371
53/102 [==============>...............] - ETA: 0s - loss: 0.4800 - acc: 0.7491
72/102 [====================>.........] - ETA: 0s - loss: 0.4794 - acc: 0.7531
78/102 [=====================>........] - ETA: 0s - loss: 0.4792 - acc: 0.7559
95/102 [==========================>...] - ETA: 0s - loss: 0.4872 - acc: 0.7512
102/102 [==============================] - 0s 4ms/step - loss: 0.4865 - acc: 0.7497
102/102 [==============================] - 1s 6ms/step - loss: 0.4865 - acc: 0.7497 - val_loss: 0.4891 - val_acc: 0.7549
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.5754 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.4641 - acc: 0.7678
37/102 [=========>....................] - ETA: 0s - loss: 0.4811 - acc: 0.7692
54/102 [==============>...............] - ETA: 0s - loss: 0.4919 - acc: 0.7596
71/102 [===================>..........] - ETA: 0s - loss: 0.4886 - acc: 0.7552
87/102 [========================>.....] - ETA: 0s - loss: 0.4898 - acc: 0.7584
102/102 [==============================] - 0s 3ms/step - loss: 0.4889 - acc: 0.7552
102/102 [==============================] - 1s 5ms/step - loss: 0.4889 - acc: 0.7552 - val_loss: 0.4897 - val_acc: 0.7531
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.3978 - acc: 0.8000
15/102 [===>..........................] - ETA: 0s - loss: 0.4862 - acc: 0.7587
28/102 [=======>......................] - ETA: 0s - loss: 0.4919 - acc: 0.7521
44/102 [===========>..................] - ETA: 0s - loss: 0.4908 - acc: 0.7518
57/102 [===============>..............] - ETA: 0s - loss: 0.4848 - acc: 0.7582
62/102 [=================>............] - ETA: 0s - loss: 0.4862 - acc: 0.7532
76/102 [=====================>........] - ETA: 0s - loss: 0.4900 - acc: 0.7547
93/102 [==========================>...] - ETA: 0s - loss: 0.4886 - acc: 0.7529
102/102 [==============================] - 0s 4ms/step - loss: 0.4864 - acc: 0.7538
102/102 [==============================] - 1s 7ms/step - loss: 0.4864 - acc: 0.7538 - val_loss: 0.4873 - val_acc: 0.7567
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.5667 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.5255 - acc: 0.7289
37/102 [=========>....................] - ETA: 0s - loss: 0.4925 - acc: 0.7411
45/102 [============>.................] - ETA: 0s - loss: 0.4902 - acc: 0.7413
51/102 [==============>...............] - ETA: 0s - loss: 0.4911 - acc: 0.7455
70/102 [===================>..........] - ETA: 0s - loss: 0.4933 - acc: 0.7451
82/102 [=======================>......] - ETA: 0s - loss: 0.4864 - acc: 0.7463
99/102 [============================>.] - ETA: 0s - loss: 0.4905 - acc: 0.7463
102/102 [==============================] - 0s 4ms/step - loss: 0.4885 - acc: 0.7481
102/102 [==============================] - 1s 7ms/step - loss: 0.4885 - acc: 0.7481 - val_loss: 0.4778 - val_acc: 0.7638
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.3665 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.4818 - acc: 0.7600
33/102 [========>.....................] - ETA: 0s - loss: 0.4829 - acc: 0.7600
47/102 [============>.................] - ETA: 0s - loss: 0.4788 - acc: 0.7617
63/102 [=================>............] - ETA: 0s - loss: 0.4796 - acc: 0.7590
79/102 [======================>.......] - ETA: 0s - loss: 0.4835 - acc: 0.7539
94/102 [==========================>...] - ETA: 0s - loss: 0.4812 - acc: 0.7553
102/102 [==============================] - 0s 3ms/step - loss: 0.4793 - acc: 0.7579
102/102 [==============================] - 1s 6ms/step - loss: 0.4793 - acc: 0.7579 - val_loss: 0.4843 - val_acc: 0.7638
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.5531 - acc: 0.6600
5/102 [>.............................] - ETA: 1s - loss: 0.4881 - acc: 0.7440
15/102 [===>..........................] - ETA: 0s - loss: 0.4776 - acc: 0.7453
32/102 [========>.....................] - ETA: 0s - loss: 0.4841 - acc: 0.7406
44/102 [===========>..................] - ETA: 0s - loss: 0.4868 - acc: 0.7395
62/102 [=================>............] - ETA: 0s - loss: 0.4818 - acc: 0.7477
77/102 [=====================>........] - ETA: 0s - loss: 0.4848 - acc: 0.7470
92/102 [==========================>...] - ETA: 0s - loss: 0.4832 - acc: 0.7478
102/102 [==============================] - 0s 4ms/step - loss: 0.4834 - acc: 0.7504
102/102 [==============================] - 1s 7ms/step - loss: 0.4834 - acc: 0.7504 - val_loss: 0.4726 - val_acc: 0.7655
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.4749 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.4733 - acc: 0.7612
35/102 [=========>....................] - ETA: 0s - loss: 0.4714 - acc: 0.7583
53/102 [==============>...............] - ETA: 0s - loss: 0.4776 - acc: 0.7551
70/102 [===================>..........] - ETA: 0s - loss: 0.4852 - acc: 0.7566
87/102 [========================>.....] - ETA: 0s - loss: 0.4818 - acc: 0.7543
102/102 [==============================] - 0s 3ms/step - loss: 0.4849 - acc: 0.7546
102/102 [==============================] - 1s 6ms/step - loss: 0.4849 - acc: 0.7546 - val_loss: 0.4892 - val_acc: 0.7549
Run completed: runs/2024-05-06T19-46-10Z
Training run 37/52 (flags = list(16, 64, 0.001, 50, 50, "sigmoid", "tanh", 0.5, 0.2))
Using run directory runs/2024-05-06T19-46-23Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/102 [..............................] - ETA: 2:05 - loss: 0.7254 - acc: 0.5400
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0357s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0357s). Check your callbacks.
16/102 [===>..........................] - ETA: 0s - loss: 0.7089 - acc: 0.5325
33/102 [========>.....................] - ETA: 0s - loss: 0.6949 - acc: 0.5594
49/102 [=============>................] - ETA: 0s - loss: 0.6930 - acc: 0.5596
67/102 [==================>...........] - ETA: 0s - loss: 0.6782 - acc: 0.5743
82/102 [=======================>......] - ETA: 0s - loss: 0.6699 - acc: 0.5863
101/102 [============================>.] - ETA: 0s - loss: 0.6583 - acc: 0.5990
102/102 [==============================] - 2s 4ms/step - loss: 0.6581 - acc: 0.5994
102/102 [==============================] - 2s 12ms/step - loss: 0.6581 - acc: 0.5994 - val_loss: 0.5405 - val_acc: 0.7691
Epoch 2/50
1/102 [..............................] - ETA: 0s - loss: 0.5753 - acc: 0.7600
14/102 [===>..........................] - ETA: 0s - loss: 0.6254 - acc: 0.6986
32/102 [========>.....................] - ETA: 0s - loss: 0.5970 - acc: 0.6869
47/102 [============>.................] - ETA: 0s - loss: 0.6025 - acc: 0.6791
58/102 [================>.............] - ETA: 0s - loss: 0.5990 - acc: 0.6786
74/102 [====================>.........] - ETA: 0s - loss: 0.5841 - acc: 0.6905
88/102 [========================>.....] - ETA: 0s - loss: 0.5892 - acc: 0.6918
102/102 [==============================] - 0s 4ms/step - loss: 0.5817 - acc: 0.6951
102/102 [==============================] - 1s 6ms/step - loss: 0.5817 - acc: 0.6951 - val_loss: 0.5382 - val_acc: 0.7318
Epoch 3/50
1/102 [..............................] - ETA: 0s - loss: 0.6022 - acc: 0.7000
16/102 [===>..........................] - ETA: 0s - loss: 0.5547 - acc: 0.7138
34/102 [=========>....................] - ETA: 0s - loss: 0.5697 - acc: 0.7100
50/102 [=============>................] - ETA: 0s - loss: 0.5552 - acc: 0.7236
65/102 [==================>...........] - ETA: 0s - loss: 0.5501 - acc: 0.7249
81/102 [======================>.......] - ETA: 0s - loss: 0.5545 - acc: 0.7180
99/102 [============================>.] - ETA: 0s - loss: 0.5631 - acc: 0.7075
102/102 [==============================] - 0s 3ms/step - loss: 0.5635 - acc: 0.7067
102/102 [==============================] - 1s 6ms/step - loss: 0.5635 - acc: 0.7067 - val_loss: 0.5023 - val_acc: 0.7602
Epoch 4/50
1/102 [..............................] - ETA: 0s - loss: 0.4771 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5411 - acc: 0.7122
36/102 [=========>....................] - ETA: 0s - loss: 0.5466 - acc: 0.7144
50/102 [=============>................] - ETA: 0s - loss: 0.5454 - acc: 0.7164
60/102 [================>.............] - ETA: 0s - loss: 0.5423 - acc: 0.7197
77/102 [=====================>........] - ETA: 0s - loss: 0.5472 - acc: 0.7223
91/102 [=========================>....] - ETA: 0s - loss: 0.5426 - acc: 0.7242
102/102 [==============================] - 0s 3ms/step - loss: 0.5452 - acc: 0.7209
102/102 [==============================] - 1s 6ms/step - loss: 0.5452 - acc: 0.7209 - val_loss: 0.5005 - val_acc: 0.7602
Epoch 5/50
1/102 [..............................] - ETA: 0s - loss: 0.5095 - acc: 0.8400
17/102 [====>.........................] - ETA: 0s - loss: 0.5406 - acc: 0.7282
34/102 [=========>....................] - ETA: 0s - loss: 0.5442 - acc: 0.7282
51/102 [==============>...............] - ETA: 0s - loss: 0.5493 - acc: 0.7200
68/102 [===================>..........] - ETA: 0s - loss: 0.5488 - acc: 0.7221
84/102 [=======================>......] - ETA: 0s - loss: 0.5365 - acc: 0.7288
100/102 [============================>.] - ETA: 0s - loss: 0.5417 - acc: 0.7304
102/102 [==============================] - 0s 3ms/step - loss: 0.5409 - acc: 0.7309
102/102 [==============================] - 1s 5ms/step - loss: 0.5409 - acc: 0.7309 - val_loss: 0.5024 - val_acc: 0.7567
Epoch 6/50
1/102 [..............................] - ETA: 1s - loss: 0.5922 - acc: 0.7200
19/102 [====>.........................] - ETA: 0s - loss: 0.5224 - acc: 0.7253
37/102 [=========>....................] - ETA: 0s - loss: 0.5210 - acc: 0.7259
47/102 [============>.................] - ETA: 0s - loss: 0.5319 - acc: 0.7217
49/102 [=============>................] - ETA: 0s - loss: 0.5380 - acc: 0.7208
66/102 [==================>...........] - ETA: 0s - loss: 0.5297 - acc: 0.7264
77/102 [=====================>........] - ETA: 0s - loss: 0.5323 - acc: 0.7223
95/102 [==========================>...] - ETA: 0s - loss: 0.5258 - acc: 0.7284
101/102 [============================>.] - ETA: 0s - loss: 0.5269 - acc: 0.7285
102/102 [==============================] - 0s 4ms/step - loss: 0.5271 - acc: 0.7282
102/102 [==============================] - 1s 8ms/step - loss: 0.5271 - acc: 0.7282 - val_loss: 0.4830 - val_acc: 0.7602
Epoch 7/50
1/102 [..............................] - ETA: 0s - loss: 0.4644 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5199 - acc: 0.7353
35/102 [=========>....................] - ETA: 0s - loss: 0.5221 - acc: 0.7429
52/102 [==============>...............] - ETA: 0s - loss: 0.5398 - acc: 0.7331
64/102 [=================>............] - ETA: 0s - loss: 0.5327 - acc: 0.7300
80/102 [======================>.......] - ETA: 0s - loss: 0.5329 - acc: 0.7303
95/102 [==========================>...] - ETA: 0s - loss: 0.5337 - acc: 0.7284
102/102 [==============================] - 0s 3ms/step - loss: 0.5300 - acc: 0.7282
102/102 [==============================] - 1s 6ms/step - loss: 0.5300 - acc: 0.7282 - val_loss: 0.4864 - val_acc: 0.7602
Epoch 8/50
1/102 [..............................] - ETA: 0s - loss: 0.4256 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5051 - acc: 0.7633
36/102 [=========>....................] - ETA: 0s - loss: 0.5160 - acc: 0.7461
54/102 [==============>...............] - ETA: 0s - loss: 0.5259 - acc: 0.7485
71/102 [===================>..........] - ETA: 0s - loss: 0.5274 - acc: 0.7330
88/102 [========================>.....] - ETA: 0s - loss: 0.5230 - acc: 0.7384
102/102 [==============================] - 0s 3ms/step - loss: 0.5212 - acc: 0.7392
102/102 [==============================] - 1s 6ms/step - loss: 0.5212 - acc: 0.7392 - val_loss: 0.4897 - val_acc: 0.7584
Epoch 9/50
1/102 [..............................] - ETA: 0s - loss: 0.6815 - acc: 0.6800
8/102 [=>............................] - ETA: 0s - loss: 0.5558 - acc: 0.7250
21/102 [=====>........................] - ETA: 0s - loss: 0.5345 - acc: 0.7229
39/102 [==========>...................] - ETA: 0s - loss: 0.5149 - acc: 0.7272
52/102 [==============>...............] - ETA: 0s - loss: 0.5204 - acc: 0.7312
70/102 [===================>..........] - ETA: 0s - loss: 0.5137 - acc: 0.7380
86/102 [========================>.....] - ETA: 0s - loss: 0.5170 - acc: 0.7356
100/102 [============================>.] - ETA: 0s - loss: 0.5192 - acc: 0.7362
102/102 [==============================] - 0s 4ms/step - loss: 0.5184 - acc: 0.7359
102/102 [==============================] - 1s 6ms/step - loss: 0.5184 - acc: 0.7359 - val_loss: 0.4807 - val_acc: 0.7655
Epoch 10/50
1/102 [..............................] - ETA: 0s - loss: 0.6106 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5264 - acc: 0.7389
36/102 [=========>....................] - ETA: 0s - loss: 0.5060 - acc: 0.7439
53/102 [==============>...............] - ETA: 0s - loss: 0.5119 - acc: 0.7438
69/102 [===================>..........] - ETA: 0s - loss: 0.5044 - acc: 0.7449
87/102 [========================>.....] - ETA: 0s - loss: 0.5112 - acc: 0.7398
102/102 [==============================] - 0s 3ms/step - loss: 0.5125 - acc: 0.7349
102/102 [==============================] - 1s 6ms/step - loss: 0.5125 - acc: 0.7349 - val_loss: 0.4818 - val_acc: 0.7620
Epoch 11/50
1/102 [..............................] - ETA: 0s - loss: 0.6259 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.5631 - acc: 0.6976
34/102 [=========>....................] - ETA: 0s - loss: 0.5350 - acc: 0.7153
52/102 [==============>...............] - ETA: 0s - loss: 0.5359 - acc: 0.7269
68/102 [===================>..........] - ETA: 0s - loss: 0.5254 - acc: 0.7332
85/102 [========================>.....] - ETA: 0s - loss: 0.5199 - acc: 0.7348
97/102 [===========================>..] - ETA: 0s - loss: 0.5166 - acc: 0.7338
102/102 [==============================] - 0s 3ms/step - loss: 0.5138 - acc: 0.7341
102/102 [==============================] - 1s 7ms/step - loss: 0.5138 - acc: 0.7341 - val_loss: 0.4792 - val_acc: 0.7638
Epoch 12/50
1/102 [..............................] - ETA: 0s - loss: 0.5466 - acc: 0.7200
6/102 [>.............................] - ETA: 1s - loss: 0.4844 - acc: 0.7900
21/102 [=====>........................] - ETA: 0s - loss: 0.4987 - acc: 0.7629
31/102 [========>.....................] - ETA: 0s - loss: 0.4884 - acc: 0.7587
44/102 [===========>..................] - ETA: 0s - loss: 0.4994 - acc: 0.7559
58/102 [================>.............] - ETA: 0s - loss: 0.5071 - acc: 0.7472
75/102 [=====================>........] - ETA: 0s - loss: 0.5128 - acc: 0.7437
92/102 [==========================>...] - ETA: 0s - loss: 0.5148 - acc: 0.7387
102/102 [==============================] - 0s 4ms/step - loss: 0.5123 - acc: 0.7390
102/102 [==============================] - 1s 7ms/step - loss: 0.5123 - acc: 0.7390 - val_loss: 0.4838 - val_acc: 0.7602
Epoch 13/50
1/102 [..............................] - ETA: 0s - loss: 0.3642 - acc: 0.9000
18/102 [====>.........................] - ETA: 0s - loss: 0.4926 - acc: 0.7511
36/102 [=========>....................] - ETA: 0s - loss: 0.4985 - acc: 0.7500
54/102 [==============>...............] - ETA: 0s - loss: 0.5130 - acc: 0.7400
69/102 [===================>..........] - ETA: 0s - loss: 0.5147 - acc: 0.7319
86/102 [========================>.....] - ETA: 0s - loss: 0.5112 - acc: 0.7333
93/102 [==========================>...] - ETA: 0s - loss: 0.5097 - acc: 0.7323
102/102 [==============================] - 0s 3ms/step - loss: 0.5085 - acc: 0.7349
102/102 [==============================] - 1s 7ms/step - loss: 0.5085 - acc: 0.7349 - val_loss: 0.4716 - val_acc: 0.7655
Epoch 14/50
1/102 [..............................] - ETA: 0s - loss: 0.4351 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5062 - acc: 0.7482
35/102 [=========>....................] - ETA: 0s - loss: 0.4969 - acc: 0.7469
53/102 [==============>...............] - ETA: 0s - loss: 0.5022 - acc: 0.7483
70/102 [===================>..........] - ETA: 0s - loss: 0.5086 - acc: 0.7451
86/102 [========================>.....] - ETA: 0s - loss: 0.5120 - acc: 0.7393
102/102 [==============================] - 0s 3ms/step - loss: 0.5074 - acc: 0.7396
102/102 [==============================] - 1s 5ms/step - loss: 0.5074 - acc: 0.7396 - val_loss: 0.4826 - val_acc: 0.7584
Epoch 15/50
1/102 [..............................] - ETA: 0s - loss: 0.3922 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5051 - acc: 0.7494
29/102 [=======>......................] - ETA: 0s - loss: 0.5110 - acc: 0.7414
44/102 [===========>..................] - ETA: 0s - loss: 0.5098 - acc: 0.7295
59/102 [================>.............] - ETA: 0s - loss: 0.5117 - acc: 0.7329
75/102 [=====================>........] - ETA: 0s - loss: 0.5087 - acc: 0.7317
93/102 [==========================>...] - ETA: 0s - loss: 0.5085 - acc: 0.7340
102/102 [==============================] - 0s 3ms/step - loss: 0.5108 - acc: 0.7329
102/102 [==============================] - 1s 6ms/step - loss: 0.5108 - acc: 0.7329 - val_loss: 0.4838 - val_acc: 0.7584
Epoch 16/50
1/102 [..............................] - ETA: 0s - loss: 0.5710 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.4974 - acc: 0.7433
37/102 [=========>....................] - ETA: 0s - loss: 0.5060 - acc: 0.7432
55/102 [===============>..............] - ETA: 0s - loss: 0.5049 - acc: 0.7389
71/102 [===================>..........] - ETA: 0s - loss: 0.5003 - acc: 0.7386
88/102 [========================>.....] - ETA: 0s - loss: 0.4980 - acc: 0.7393
102/102 [==============================] - 0s 3ms/step - loss: 0.4995 - acc: 0.7416
102/102 [==============================] - 1s 5ms/step - loss: 0.4995 - acc: 0.7416 - val_loss: 0.4838 - val_acc: 0.7584
Epoch 17/50
1/102 [..............................] - ETA: 1s - loss: 0.6430 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.5142 - acc: 0.7233
34/102 [=========>....................] - ETA: 0s - loss: 0.5127 - acc: 0.7324
43/102 [===========>..................] - ETA: 0s - loss: 0.5014 - acc: 0.7298
54/102 [==============>...............] - ETA: 0s - loss: 0.5060 - acc: 0.7296
71/102 [===================>..........] - ETA: 0s - loss: 0.5044 - acc: 0.7341
77/102 [=====================>........] - ETA: 0s - loss: 0.5018 - acc: 0.7358
92/102 [==========================>...] - ETA: 0s - loss: 0.5009 - acc: 0.7389
102/102 [==============================] - 0s 4ms/step - loss: 0.5023 - acc: 0.7384
102/102 [==============================] - 1s 7ms/step - loss: 0.5023 - acc: 0.7384 - val_loss: 0.4847 - val_acc: 0.7584
Epoch 18/50
1/102 [..............................] - ETA: 0s - loss: 0.5541 - acc: 0.7400
13/102 [==>...........................] - ETA: 0s - loss: 0.5010 - acc: 0.7523
31/102 [========>.....................] - ETA: 0s - loss: 0.4911 - acc: 0.7490
47/102 [============>.................] - ETA: 0s - loss: 0.4894 - acc: 0.7472
64/102 [=================>............] - ETA: 0s - loss: 0.4966 - acc: 0.7484
80/102 [======================>.......] - ETA: 0s - loss: 0.5031 - acc: 0.7410
98/102 [===========================>..] - ETA: 0s - loss: 0.5006 - acc: 0.7408
102/102 [==============================] - 0s 3ms/step - loss: 0.5029 - acc: 0.7420
102/102 [==============================] - 1s 6ms/step - loss: 0.5029 - acc: 0.7420 - val_loss: 0.4840 - val_acc: 0.7567
Epoch 19/50
1/102 [..............................] - ETA: 0s - loss: 0.3487 - acc: 0.8200
16/102 [===>..........................] - ETA: 0s - loss: 0.4785 - acc: 0.7513
31/102 [========>.....................] - ETA: 0s - loss: 0.4938 - acc: 0.7361
43/102 [===========>..................] - ETA: 0s - loss: 0.4975 - acc: 0.7312
59/102 [================>.............] - ETA: 0s - loss: 0.4974 - acc: 0.7308
75/102 [=====================>........] - ETA: 0s - loss: 0.4991 - acc: 0.7323
92/102 [==========================>...] - ETA: 0s - loss: 0.5023 - acc: 0.7370
102/102 [==============================] - 0s 4ms/step - loss: 0.5044 - acc: 0.7372
102/102 [==============================] - 1s 6ms/step - loss: 0.5044 - acc: 0.7372 - val_loss: 0.4964 - val_acc: 0.7531
Epoch 20/50
1/102 [..............................] - ETA: 0s - loss: 0.5652 - acc: 0.7200
15/102 [===>..........................] - ETA: 0s - loss: 0.5096 - acc: 0.7173
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61/102 [================>.............] - ETA: 0s - loss: 0.5034 - acc: 0.7374
79/102 [======================>.......] - ETA: 0s - loss: 0.5083 - acc: 0.7367
95/102 [==========================>...] - ETA: 0s - loss: 0.5034 - acc: 0.7389
102/102 [==============================] - 0s 3ms/step - loss: 0.5042 - acc: 0.7374
102/102 [==============================] - 1s 6ms/step - loss: 0.5042 - acc: 0.7374 - val_loss: 0.4812 - val_acc: 0.7638
Epoch 21/50
1/102 [..............................] - ETA: 0s - loss: 0.5083 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.5142 - acc: 0.7589
36/102 [=========>....................] - ETA: 0s - loss: 0.5078 - acc: 0.7506
53/102 [==============>...............] - ETA: 0s - loss: 0.5062 - acc: 0.7536
70/102 [===================>..........] - ETA: 0s - loss: 0.5027 - acc: 0.7477
88/102 [========================>.....] - ETA: 0s - loss: 0.5011 - acc: 0.7457
102/102 [==============================] - 0s 3ms/step - loss: 0.4964 - acc: 0.7483
102/102 [==============================] - 1s 6ms/step - loss: 0.4964 - acc: 0.7483 - val_loss: 0.4745 - val_acc: 0.7691
Epoch 22/50
1/102 [..............................] - ETA: 0s - loss: 0.4212 - acc: 0.8200
17/102 [====>.........................] - ETA: 0s - loss: 0.5241 - acc: 0.7435
34/102 [=========>....................] - ETA: 0s - loss: 0.5011 - acc: 0.7471
52/102 [==============>...............] - ETA: 0s - loss: 0.5000 - acc: 0.7454
68/102 [===================>..........] - ETA: 0s - loss: 0.5015 - acc: 0.7418
84/102 [=======================>......] - ETA: 0s - loss: 0.5006 - acc: 0.7443
102/102 [==============================] - 0s 3ms/step - loss: 0.4981 - acc: 0.7473
102/102 [==============================] - 1s 5ms/step - loss: 0.4981 - acc: 0.7473 - val_loss: 0.4898 - val_acc: 0.7584
Epoch 23/50
1/102 [..............................] - ETA: 0s - loss: 0.3348 - acc: 0.8800
18/102 [====>.........................] - ETA: 0s - loss: 0.4831 - acc: 0.7422
36/102 [=========>....................] - ETA: 0s - loss: 0.4861 - acc: 0.7406
45/102 [============>.................] - ETA: 0s - loss: 0.4943 - acc: 0.7351
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82/102 [=======================>......] - ETA: 0s - loss: 0.4906 - acc: 0.7493
100/102 [============================>.] - ETA: 0s - loss: 0.4970 - acc: 0.7456
102/102 [==============================] - 0s 4ms/step - loss: 0.4977 - acc: 0.7441
102/102 [==============================] - 1s 7ms/step - loss: 0.4977 - acc: 0.7441 - val_loss: 0.5179 - val_acc: 0.7353
Run completed: runs/2024-05-06T19-46-23Z
Training run 38/52 (flags = list(32, 32, 0.001, 20, 50, "relu", "tanh", 0.5, 0.5))
Using run directory runs/2024-05-06T19-46-40Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:06 - loss: 0.6420 - acc: 0.5000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0014s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
18/254 [=>............................] - ETA: 0s - loss: 0.8003 - acc: 0.5194
37/254 [===>..........................] - ETA: 0s - loss: 0.7570 - acc: 0.5527
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217/254 [========================>.....] - ETA: 0s - loss: 0.6306 - acc: 0.6553
231/254 [==========================>...] - ETA: 0s - loss: 0.6301 - acc: 0.6561
239/254 [===========================>..] - ETA: 0s - loss: 0.6270 - acc: 0.6584
254/254 [==============================] - 2s 3ms/step - loss: 0.6205 - acc: 0.6619
254/254 [==============================] - 3s 7ms/step - loss: 0.6205 - acc: 0.6619 - val_loss: 0.4835 - val_acc: 0.7549
Epoch 2/50
1/254 [..............................] - ETA: 2s - loss: 0.4789 - acc: 0.6500
17/254 [=>............................] - ETA: 0s - loss: 0.5782 - acc: 0.7294
26/254 [==>...........................] - ETA: 0s - loss: 0.5617 - acc: 0.7212
39/254 [===>..........................] - ETA: 0s - loss: 0.5790 - acc: 0.6923
58/254 [=====>........................] - ETA: 0s - loss: 0.5672 - acc: 0.6897
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98/254 [==========>...................] - ETA: 0s - loss: 0.5693 - acc: 0.6944
112/254 [============>.................] - ETA: 0s - loss: 0.5701 - acc: 0.6996
129/254 [==============>...............] - ETA: 0s - loss: 0.5694 - acc: 0.6988
149/254 [================>.............] - ETA: 0s - loss: 0.5624 - acc: 0.6987
167/254 [==================>...........] - ETA: 0s - loss: 0.5603 - acc: 0.6988
182/254 [====================>.........] - ETA: 0s - loss: 0.5552 - acc: 0.7008
196/254 [======================>.......] - ETA: 0s - loss: 0.5508 - acc: 0.7038
214/254 [========================>.....] - ETA: 0s - loss: 0.5464 - acc: 0.7068
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234/254 [==========================>...] - ETA: 0s - loss: 0.5464 - acc: 0.7083
247/254 [============================>.] - ETA: 0s - loss: 0.5424 - acc: 0.7115
254/254 [==============================] - 1s 4ms/step - loss: 0.5415 - acc: 0.7118
254/254 [==============================] - 1s 5ms/step - loss: 0.5415 - acc: 0.7118 - val_loss: 0.4706 - val_acc: 0.7602
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.9032 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.5538 - acc: 0.7289
36/254 [===>..........................] - ETA: 0s - loss: 0.5409 - acc: 0.7222
55/254 [=====>........................] - ETA: 0s - loss: 0.5354 - acc: 0.7264
72/254 [=======>......................] - ETA: 0s - loss: 0.5204 - acc: 0.7417
75/254 [=======>......................] - ETA: 0s - loss: 0.5161 - acc: 0.7407
94/254 [==========>...................] - ETA: 0s - loss: 0.5064 - acc: 0.7457
110/254 [===========>..................] - ETA: 0s - loss: 0.5164 - acc: 0.7377
122/254 [=============>................] - ETA: 0s - loss: 0.5142 - acc: 0.7414
138/254 [===============>..............] - ETA: 0s - loss: 0.5137 - acc: 0.7388
156/254 [=================>............] - ETA: 0s - loss: 0.5172 - acc: 0.7394
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210/254 [=======================>......] - ETA: 0s - loss: 0.5244 - acc: 0.7288
229/254 [==========================>...] - ETA: 0s - loss: 0.5207 - acc: 0.7269
249/254 [============================>.] - ETA: 0s - loss: 0.5249 - acc: 0.7277
254/254 [==============================] - 1s 3ms/step - loss: 0.5254 - acc: 0.7284
254/254 [==============================] - 1s 4ms/step - loss: 0.5254 - acc: 0.7284 - val_loss: 0.4882 - val_acc: 0.7513
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.6111 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.5129 - acc: 0.7158
39/254 [===>..........................] - ETA: 0s - loss: 0.5280 - acc: 0.7154
56/254 [=====>........................] - ETA: 0s - loss: 0.5197 - acc: 0.7205
66/254 [======>.......................] - ETA: 0s - loss: 0.5135 - acc: 0.7242
79/254 [========>.....................] - ETA: 0s - loss: 0.5063 - acc: 0.7259
85/254 [=========>....................] - ETA: 0s - loss: 0.4976 - acc: 0.7329
103/254 [===========>..................] - ETA: 0s - loss: 0.4990 - acc: 0.7364
117/254 [============>.................] - ETA: 0s - loss: 0.5026 - acc: 0.7376
136/254 [===============>..............] - ETA: 0s - loss: 0.5037 - acc: 0.7408
155/254 [=================>............] - ETA: 0s - loss: 0.5060 - acc: 0.7394
173/254 [===================>..........] - ETA: 0s - loss: 0.5087 - acc: 0.7324
192/254 [=====================>........] - ETA: 0s - loss: 0.5143 - acc: 0.7297
208/254 [=======================>......] - ETA: 0s - loss: 0.5131 - acc: 0.7293
226/254 [=========================>....] - ETA: 0s - loss: 0.5144 - acc: 0.7283
246/254 [============================>.] - ETA: 0s - loss: 0.5118 - acc: 0.7309
254/254 [==============================] - 1s 3ms/step - loss: 0.5150 - acc: 0.7307
254/254 [==============================] - 1s 4ms/step - loss: 0.5150 - acc: 0.7307 - val_loss: 0.4902 - val_acc: 0.7460
Epoch 5/50
1/254 [..............................] - ETA: 1s - loss: 0.6446 - acc: 0.6500
17/254 [=>............................] - ETA: 0s - loss: 0.4953 - acc: 0.7500
37/254 [===>..........................] - ETA: 0s - loss: 0.4931 - acc: 0.7405
54/254 [=====>........................] - ETA: 0s - loss: 0.4893 - acc: 0.7380
72/254 [=======>......................] - ETA: 0s - loss: 0.4991 - acc: 0.7326
88/254 [=========>....................] - ETA: 0s - loss: 0.4955 - acc: 0.7381
101/254 [==========>...................] - ETA: 0s - loss: 0.5055 - acc: 0.7337
109/254 [===========>..................] - ETA: 0s - loss: 0.5119 - acc: 0.7344
116/254 [============>.................] - ETA: 0s - loss: 0.5090 - acc: 0.7358
135/254 [==============>...............] - ETA: 0s - loss: 0.5079 - acc: 0.7322
152/254 [================>.............] - ETA: 0s - loss: 0.5050 - acc: 0.7339
170/254 [===================>..........] - ETA: 0s - loss: 0.5061 - acc: 0.7324
185/254 [====================>.........] - ETA: 0s - loss: 0.5079 - acc: 0.7346
202/254 [======================>.......] - ETA: 0s - loss: 0.5078 - acc: 0.7314
220/254 [========================>.....] - ETA: 0s - loss: 0.5073 - acc: 0.7336
238/254 [===========================>..] - ETA: 0s - loss: 0.5064 - acc: 0.7347
254/254 [==============================] - 1s 4ms/step - loss: 0.5059 - acc: 0.7341
254/254 [==============================] - 1s 4ms/step - loss: 0.5059 - acc: 0.7341 - val_loss: 0.4835 - val_acc: 0.7602
Epoch 6/50
1/254 [..............................] - ETA: 1s - loss: 0.3470 - acc: 0.8000
15/254 [>.............................] - ETA: 0s - loss: 0.4983 - acc: 0.7400
32/254 [==>...........................] - ETA: 0s - loss: 0.4873 - acc: 0.7406
39/254 [===>..........................] - ETA: 0s - loss: 0.5029 - acc: 0.7410
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82/254 [========>.....................] - ETA: 0s - loss: 0.4764 - acc: 0.7598
101/254 [==========>...................] - ETA: 0s - loss: 0.4912 - acc: 0.7495
119/254 [=============>................] - ETA: 0s - loss: 0.4935 - acc: 0.7471
137/254 [===============>..............] - ETA: 0s - loss: 0.5017 - acc: 0.7372
155/254 [=================>............] - ETA: 0s - loss: 0.5039 - acc: 0.7326
172/254 [===================>..........] - ETA: 0s - loss: 0.5082 - acc: 0.7320
190/254 [=====================>........] - ETA: 0s - loss: 0.5098 - acc: 0.7289
207/254 [=======================>......] - ETA: 0s - loss: 0.5087 - acc: 0.7271
225/254 [=========================>....] - ETA: 0s - loss: 0.5104 - acc: 0.7258
244/254 [===========================>..] - ETA: 0s - loss: 0.5041 - acc: 0.7291
254/254 [==============================] - 1s 3ms/step - loss: 0.5041 - acc: 0.7295
254/254 [==============================] - 1s 4ms/step - loss: 0.5041 - acc: 0.7295 - val_loss: 0.4929 - val_acc: 0.7549
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.4286 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.5031 - acc: 0.7278
36/254 [===>..........................] - ETA: 0s - loss: 0.5157 - acc: 0.7333
55/254 [=====>........................] - ETA: 0s - loss: 0.5157 - acc: 0.7327
72/254 [=======>......................] - ETA: 0s - loss: 0.5097 - acc: 0.7424
90/254 [=========>....................] - ETA: 0s - loss: 0.5095 - acc: 0.7383
109/254 [===========>..................] - ETA: 0s - loss: 0.5057 - acc: 0.7381
127/254 [==============>...............] - ETA: 0s - loss: 0.5089 - acc: 0.7303
144/254 [================>.............] - ETA: 0s - loss: 0.5046 - acc: 0.7351
162/254 [==================>...........] - ETA: 0s - loss: 0.5028 - acc: 0.7386
181/254 [====================>.........] - ETA: 0s - loss: 0.4973 - acc: 0.7420
199/254 [======================>.......] - ETA: 0s - loss: 0.4981 - acc: 0.7379
216/254 [========================>.....] - ETA: 0s - loss: 0.5002 - acc: 0.7366
234/254 [==========================>...] - ETA: 0s - loss: 0.5003 - acc: 0.7361
253/254 [============================>.] - ETA: 0s - loss: 0.4992 - acc: 0.7352
254/254 [==============================] - 1s 3ms/step - loss: 0.4985 - acc: 0.7353
254/254 [==============================] - 1s 4ms/step - loss: 0.4985 - acc: 0.7353 - val_loss: 0.4747 - val_acc: 0.7620
Epoch 8/50
1/254 [..............................] - ETA: 1s - loss: 0.5276 - acc: 0.7500
15/254 [>.............................] - ETA: 1s - loss: 0.4417 - acc: 0.7833
33/254 [==>...........................] - ETA: 1s - loss: 0.4709 - acc: 0.7606
52/254 [=====>........................] - ETA: 0s - loss: 0.4799 - acc: 0.7510
57/254 [=====>........................] - ETA: 0s - loss: 0.4853 - acc: 0.7456
76/254 [=======>......................] - ETA: 0s - loss: 0.4831 - acc: 0.7539
95/254 [==========>...................] - ETA: 0s - loss: 0.4785 - acc: 0.7474
113/254 [============>.................] - ETA: 0s - loss: 0.4872 - acc: 0.7487
132/254 [==============>...............] - ETA: 0s - loss: 0.4893 - acc: 0.7511
151/254 [================>.............] - ETA: 0s - loss: 0.4963 - acc: 0.7457
169/254 [==================>...........] - ETA: 0s - loss: 0.4992 - acc: 0.7379
186/254 [====================>.........] - ETA: 0s - loss: 0.4950 - acc: 0.7398
204/254 [=======================>......] - ETA: 0s - loss: 0.4940 - acc: 0.7400
222/254 [=========================>....] - ETA: 0s - loss: 0.4956 - acc: 0.7383
240/254 [===========================>..] - ETA: 0s - loss: 0.4983 - acc: 0.7367
254/254 [==============================] - 1s 3ms/step - loss: 0.4987 - acc: 0.7353
254/254 [==============================] - 1s 5ms/step - loss: 0.4987 - acc: 0.7353 - val_loss: 0.5039 - val_acc: 0.7336
Epoch 9/50
1/254 [..............................] - ETA: 0s - loss: 0.4266 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4837 - acc: 0.7167
39/254 [===>..........................] - ETA: 0s - loss: 0.4914 - acc: 0.7295
58/254 [=====>........................] - ETA: 0s - loss: 0.4776 - acc: 0.7440
77/254 [========>.....................] - ETA: 0s - loss: 0.4821 - acc: 0.7409
94/254 [==========>...................] - ETA: 0s - loss: 0.4855 - acc: 0.7404
112/254 [============>.................] - ETA: 0s - loss: 0.4809 - acc: 0.7330
132/254 [==============>...............] - ETA: 0s - loss: 0.4794 - acc: 0.7367
150/254 [================>.............] - ETA: 0s - loss: 0.4758 - acc: 0.7443
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188/254 [=====================>........] - ETA: 0s - loss: 0.4851 - acc: 0.7396
207/254 [=======================>......] - ETA: 0s - loss: 0.4866 - acc: 0.7394
225/254 [=========================>....] - ETA: 0s - loss: 0.4909 - acc: 0.7378
239/254 [===========================>..] - ETA: 0s - loss: 0.4918 - acc: 0.7358
254/254 [==============================] - 1s 3ms/step - loss: 0.4966 - acc: 0.7337
254/254 [==============================] - 1s 4ms/step - loss: 0.4966 - acc: 0.7337 - val_loss: 0.4942 - val_acc: 0.7389
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.4427 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5297 - acc: 0.7053
38/254 [===>..........................] - ETA: 0s - loss: 0.5268 - acc: 0.6921
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240/254 [===========================>..] - ETA: 0s - loss: 0.4958 - acc: 0.7219
254/254 [==============================] - 1s 4ms/step - loss: 0.4917 - acc: 0.7262
254/254 [==============================] - 1s 4ms/step - loss: 0.4917 - acc: 0.7262 - val_loss: 0.4788 - val_acc: 0.7655
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.4706 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.4964 - acc: 0.7382
36/254 [===>..........................] - ETA: 0s - loss: 0.4752 - acc: 0.7611
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103/254 [===========>..................] - ETA: 0s - loss: 0.4815 - acc: 0.7583
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244/254 [===========================>..] - ETA: 0s - loss: 0.4870 - acc: 0.7461
254/254 [==============================] - 1s 3ms/step - loss: 0.4907 - acc: 0.7447
254/254 [==============================] - 1s 4ms/step - loss: 0.4907 - acc: 0.7447 - val_loss: 0.4902 - val_acc: 0.7478
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.2625 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4608 - acc: 0.7132
38/254 [===>..........................] - ETA: 0s - loss: 0.4471 - acc: 0.7447
56/254 [=====>........................] - ETA: 0s - loss: 0.4772 - acc: 0.7304
75/254 [=======>......................] - ETA: 0s - loss: 0.4814 - acc: 0.7273
94/254 [==========>...................] - ETA: 0s - loss: 0.4830 - acc: 0.7314
113/254 [============>.................] - ETA: 0s - loss: 0.4857 - acc: 0.7372
132/254 [==============>...............] - ETA: 0s - loss: 0.4892 - acc: 0.7394
149/254 [================>.............] - ETA: 0s - loss: 0.4877 - acc: 0.7406
165/254 [==================>...........] - ETA: 0s - loss: 0.4934 - acc: 0.7370
180/254 [====================>.........] - ETA: 0s - loss: 0.4893 - acc: 0.7375
188/254 [=====================>........] - ETA: 0s - loss: 0.4890 - acc: 0.7380
203/254 [======================>.......] - ETA: 0s - loss: 0.4873 - acc: 0.7372
222/254 [=========================>....] - ETA: 0s - loss: 0.4835 - acc: 0.7426
239/254 [===========================>..] - ETA: 0s - loss: 0.4855 - acc: 0.7435
254/254 [==============================] - 1s 3ms/step - loss: 0.4908 - acc: 0.7424
254/254 [==============================] - 1s 4ms/step - loss: 0.4908 - acc: 0.7424 - val_loss: 0.4843 - val_acc: 0.7478
Run completed: runs/2024-05-06T19-46-40Z
Training run 39/52 (flags = list(32, 64, 0.001, 50, 50, "sigmoid", "relu", 0.5, 0.5))
Using run directory runs/2024-05-06T19-46-56Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/102 [..............................] - ETA: 2:00 - loss: 0.7521 - acc: 0.4000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0323s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0323s). Check your callbacks.
19/102 [====>.........................] - ETA: 0s - loss: 0.7219 - acc: 0.5474
36/102 [=========>....................] - ETA: 0s - loss: 0.7220 - acc: 0.5444
49/102 [=============>................] - ETA: 0s - loss: 0.7177 - acc: 0.5400
66/102 [==================>...........] - ETA: 0s - loss: 0.7066 - acc: 0.5536
83/102 [=======================>......] - ETA: 0s - loss: 0.6988 - acc: 0.5706
99/102 [============================>.] - ETA: 0s - loss: 0.6920 - acc: 0.5725
102/102 [==============================] - 2s 3ms/step - loss: 0.6913 - acc: 0.5740
102/102 [==============================] - 2s 11ms/step - loss: 0.6913 - acc: 0.5740 - val_loss: 0.6205 - val_acc: 0.7105
Epoch 2/50
1/102 [..............................] - ETA: 0s - loss: 0.6504 - acc: 0.5800
14/102 [===>..........................] - ETA: 0s - loss: 0.6507 - acc: 0.6271
29/102 [=======>......................] - ETA: 0s - loss: 0.6251 - acc: 0.6552
38/102 [==========>...................] - ETA: 0s - loss: 0.6262 - acc: 0.6621
53/102 [==============>...............] - ETA: 0s - loss: 0.6257 - acc: 0.6615
68/102 [===================>..........] - ETA: 0s - loss: 0.6250 - acc: 0.6597
80/102 [======================>.......] - ETA: 0s - loss: 0.6178 - acc: 0.6630
87/102 [========================>.....] - ETA: 0s - loss: 0.6140 - acc: 0.6671
100/102 [============================>.] - ETA: 0s - loss: 0.6113 - acc: 0.6696
102/102 [==============================] - 0s 4ms/step - loss: 0.6118 - acc: 0.6690
102/102 [==============================] - 1s 6ms/step - loss: 0.6118 - acc: 0.6690 - val_loss: 0.5305 - val_acc: 0.7549
Epoch 3/50
1/102 [..............................] - ETA: 0s - loss: 0.6490 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.5556 - acc: 0.7306
35/102 [=========>....................] - ETA: 0s - loss: 0.5425 - acc: 0.7314
52/102 [==============>...............] - ETA: 0s - loss: 0.5511 - acc: 0.7223
69/102 [===================>..........] - ETA: 0s - loss: 0.5642 - acc: 0.7203
82/102 [=======================>......] - ETA: 0s - loss: 0.5638 - acc: 0.7146
96/102 [===========================>..] - ETA: 0s - loss: 0.5635 - acc: 0.7123
102/102 [==============================] - 0s 3ms/step - loss: 0.5613 - acc: 0.7138
102/102 [==============================] - 1s 7ms/step - loss: 0.5613 - acc: 0.7138 - val_loss: 0.5023 - val_acc: 0.7673
Epoch 4/50
1/102 [..............................] - ETA: 0s - loss: 0.5872 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.5378 - acc: 0.7318
22/102 [=====>........................] - ETA: 0s - loss: 0.5378 - acc: 0.7409
31/102 [========>.....................] - ETA: 0s - loss: 0.5342 - acc: 0.7413
46/102 [============>.................] - ETA: 0s - loss: 0.5508 - acc: 0.7404
58/102 [================>.............] - ETA: 0s - loss: 0.5449 - acc: 0.7376
74/102 [====================>.........] - ETA: 0s - loss: 0.5472 - acc: 0.7351
91/102 [=========================>....] - ETA: 0s - loss: 0.5472 - acc: 0.7376
102/102 [==============================] - 0s 4ms/step - loss: 0.5485 - acc: 0.7349
102/102 [==============================] - 1s 7ms/step - loss: 0.5485 - acc: 0.7349 - val_loss: 0.5082 - val_acc: 0.7638
Epoch 5/50
1/102 [..............................] - ETA: 0s - loss: 0.4842 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5310 - acc: 0.7178
35/102 [=========>....................] - ETA: 0s - loss: 0.5262 - acc: 0.7269
52/102 [==============>...............] - ETA: 0s - loss: 0.5298 - acc: 0.7331
58/102 [================>.............] - ETA: 0s - loss: 0.5353 - acc: 0.7286
75/102 [=====================>........] - ETA: 0s - loss: 0.5383 - acc: 0.7280
89/102 [=========================>....] - ETA: 0s - loss: 0.5373 - acc: 0.7290
101/102 [============================>.] - ETA: 0s - loss: 0.5336 - acc: 0.7311
102/102 [==============================] - 0s 4ms/step - loss: 0.5333 - acc: 0.7311
102/102 [==============================] - 1s 8ms/step - loss: 0.5333 - acc: 0.7311 - val_loss: 0.4883 - val_acc: 0.7744
Epoch 6/50
1/102 [..............................] - ETA: 0s - loss: 0.4505 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.5107 - acc: 0.7489
35/102 [=========>....................] - ETA: 0s - loss: 0.5183 - acc: 0.7446
52/102 [==============>...............] - ETA: 0s - loss: 0.5275 - acc: 0.7381
68/102 [===================>..........] - ETA: 0s - loss: 0.5272 - acc: 0.7376
84/102 [=======================>......] - ETA: 0s - loss: 0.5242 - acc: 0.7383
102/102 [==============================] - 0s 3ms/step - loss: 0.5226 - acc: 0.7400
102/102 [==============================] - 1s 5ms/step - loss: 0.5226 - acc: 0.7400 - val_loss: 0.4879 - val_acc: 0.7655
Epoch 7/50
1/102 [..............................] - ETA: 0s - loss: 0.3548 - acc: 0.8800
17/102 [====>.........................] - ETA: 0s - loss: 0.5405 - acc: 0.7541
25/102 [======>.......................] - ETA: 0s - loss: 0.5349 - acc: 0.7432
38/102 [==========>...................] - ETA: 0s - loss: 0.5276 - acc: 0.7405
51/102 [==============>...............] - ETA: 0s - loss: 0.5237 - acc: 0.7408
63/102 [=================>............] - ETA: 0s - loss: 0.5264 - acc: 0.7394
74/102 [====================>.........] - ETA: 0s - loss: 0.5241 - acc: 0.7381
91/102 [=========================>....] - ETA: 0s - loss: 0.5215 - acc: 0.7354
102/102 [==============================] - 0s 4ms/step - loss: 0.5177 - acc: 0.7384
102/102 [==============================] - 1s 7ms/step - loss: 0.5177 - acc: 0.7384 - val_loss: 0.4811 - val_acc: 0.7691
Epoch 8/50
1/102 [..............................] - ETA: 0s - loss: 0.4553 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.4998 - acc: 0.7541
34/102 [=========>....................] - ETA: 0s - loss: 0.5073 - acc: 0.7535
51/102 [==============>...............] - ETA: 0s - loss: 0.5182 - acc: 0.7482
66/102 [==================>...........] - ETA: 0s - loss: 0.5219 - acc: 0.7473
83/102 [=======================>......] - ETA: 0s - loss: 0.5184 - acc: 0.7482
101/102 [============================>.] - ETA: 0s - loss: 0.5213 - acc: 0.7444
102/102 [==============================] - 0s 3ms/step - loss: 0.5210 - acc: 0.7447
102/102 [==============================] - 1s 6ms/step - loss: 0.5210 - acc: 0.7447 - val_loss: 0.4934 - val_acc: 0.7638
Epoch 9/50
1/102 [..............................] - ETA: 0s - loss: 0.5224 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.5485 - acc: 0.7247
33/102 [========>.....................] - ETA: 0s - loss: 0.5307 - acc: 0.7261
47/102 [============>.................] - ETA: 0s - loss: 0.5243 - acc: 0.7319
63/102 [=================>............] - ETA: 0s - loss: 0.5342 - acc: 0.7324
78/102 [=====================>........] - ETA: 0s - loss: 0.5261 - acc: 0.7369
95/102 [==========================>...] - ETA: 0s - loss: 0.5192 - acc: 0.7371
102/102 [==============================] - 0s 3ms/step - loss: 0.5193 - acc: 0.7357
102/102 [==============================] - 1s 6ms/step - loss: 0.5193 - acc: 0.7357 - val_loss: 0.4774 - val_acc: 0.7691
Epoch 10/50
1/102 [..............................] - ETA: 0s - loss: 0.5502 - acc: 0.6400
16/102 [===>..........................] - ETA: 0s - loss: 0.5190 - acc: 0.7412
34/102 [=========>....................] - ETA: 0s - loss: 0.5048 - acc: 0.7547
42/102 [===========>..................] - ETA: 0s - loss: 0.5006 - acc: 0.7557
48/102 [=============>................] - ETA: 0s - loss: 0.4983 - acc: 0.7538
65/102 [==================>...........] - ETA: 0s - loss: 0.5127 - acc: 0.7443
74/102 [====================>.........] - ETA: 0s - loss: 0.5101 - acc: 0.7427
91/102 [=========================>....] - ETA: 0s - loss: 0.5155 - acc: 0.7389
94/102 [==========================>...] - ETA: 0s - loss: 0.5148 - acc: 0.7400
102/102 [==============================] - 1s 5ms/step - loss: 0.5129 - acc: 0.7394
102/102 [==============================] - 1s 8ms/step - loss: 0.5129 - acc: 0.7394 - val_loss: 0.4911 - val_acc: 0.7602
Epoch 11/50
1/102 [..............................] - ETA: 0s - loss: 0.3905 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.5024 - acc: 0.7353
34/102 [=========>....................] - ETA: 0s - loss: 0.5116 - acc: 0.7412
50/102 [=============>................] - ETA: 0s - loss: 0.5142 - acc: 0.7400
66/102 [==================>...........] - ETA: 0s - loss: 0.5146 - acc: 0.7400
83/102 [=======================>......] - ETA: 0s - loss: 0.5204 - acc: 0.7340
100/102 [============================>.] - ETA: 0s - loss: 0.5173 - acc: 0.7342
102/102 [==============================] - 0s 3ms/step - loss: 0.5180 - acc: 0.7345
102/102 [==============================] - 1s 7ms/step - loss: 0.5180 - acc: 0.7345 - val_loss: 0.4938 - val_acc: 0.7620
Epoch 12/50
1/102 [..............................] - ETA: 0s - loss: 0.5684 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.5095 - acc: 0.7411
33/102 [========>.....................] - ETA: 0s - loss: 0.5020 - acc: 0.7491
51/102 [==============>...............] - ETA: 0s - loss: 0.5149 - acc: 0.7439
66/102 [==================>...........] - ETA: 0s - loss: 0.5108 - acc: 0.7436
81/102 [======================>.......] - ETA: 0s - loss: 0.5115 - acc: 0.7365
99/102 [============================>.] - ETA: 0s - loss: 0.5082 - acc: 0.7430
102/102 [==============================] - 0s 3ms/step - loss: 0.5076 - acc: 0.7445
102/102 [==============================] - 1s 5ms/step - loss: 0.5076 - acc: 0.7445 - val_loss: 0.4762 - val_acc: 0.7691
Epoch 13/50
1/102 [..............................] - ETA: 0s - loss: 0.3545 - acc: 0.7800
16/102 [===>..........................] - ETA: 0s - loss: 0.5074 - acc: 0.7525
25/102 [======>.......................] - ETA: 0s - loss: 0.5081 - acc: 0.7512
40/102 [==========>...................] - ETA: 0s - loss: 0.5192 - acc: 0.7415
56/102 [===============>..............] - ETA: 0s - loss: 0.5122 - acc: 0.7468
73/102 [====================>.........] - ETA: 0s - loss: 0.5083 - acc: 0.7430
90/102 [=========================>....] - ETA: 0s - loss: 0.5061 - acc: 0.7462
102/102 [==============================] - 0s 4ms/step - loss: 0.5068 - acc: 0.7443
102/102 [==============================] - 1s 6ms/step - loss: 0.5068 - acc: 0.7443 - val_loss: 0.4853 - val_acc: 0.7620
Epoch 14/50
1/102 [..............................] - ETA: 0s - loss: 0.6281 - acc: 0.6200
17/102 [====>.........................] - ETA: 0s - loss: 0.5271 - acc: 0.7282
34/102 [=========>....................] - ETA: 0s - loss: 0.5092 - acc: 0.7353
52/102 [==============>...............] - ETA: 0s - loss: 0.5155 - acc: 0.7350
69/102 [===================>..........] - ETA: 0s - loss: 0.5129 - acc: 0.7336
86/102 [========================>.....] - ETA: 0s - loss: 0.5053 - acc: 0.7363
102/102 [==============================] - 0s 3ms/step - loss: 0.5040 - acc: 0.7402
102/102 [==============================] - 1s 5ms/step - loss: 0.5040 - acc: 0.7402 - val_loss: 0.4809 - val_acc: 0.7655
Epoch 15/50
1/102 [..............................] - ETA: 0s - loss: 0.5454 - acc: 0.7200
16/102 [===>..........................] - ETA: 0s - loss: 0.4852 - acc: 0.7563
33/102 [========>.....................] - ETA: 0s - loss: 0.5025 - acc: 0.7479
50/102 [=============>................] - ETA: 0s - loss: 0.5108 - acc: 0.7476
66/102 [==================>...........] - ETA: 0s - loss: 0.5089 - acc: 0.7448
81/102 [======================>.......] - ETA: 0s - loss: 0.5099 - acc: 0.7437
99/102 [============================>.] - ETA: 0s - loss: 0.5068 - acc: 0.7467
102/102 [==============================] - 0s 3ms/step - loss: 0.5056 - acc: 0.7475
102/102 [==============================] - 1s 7ms/step - loss: 0.5056 - acc: 0.7475 - val_loss: 0.4856 - val_acc: 0.7655
Epoch 16/50
1/102 [..............................] - ETA: 0s - loss: 0.4250 - acc: 0.7600
18/102 [====>.........................] - ETA: 0s - loss: 0.4911 - acc: 0.7589
35/102 [=========>....................] - ETA: 0s - loss: 0.4951 - acc: 0.7589
43/102 [===========>..................] - ETA: 0s - loss: 0.4964 - acc: 0.7591
49/102 [=============>................] - ETA: 0s - loss: 0.4984 - acc: 0.7539
67/102 [==================>...........] - ETA: 0s - loss: 0.5061 - acc: 0.7493
84/102 [=======================>......] - ETA: 0s - loss: 0.5042 - acc: 0.7507
98/102 [===========================>..] - ETA: 0s - loss: 0.5002 - acc: 0.7527
102/102 [==============================] - 0s 4ms/step - loss: 0.5005 - acc: 0.7516
102/102 [==============================] - 1s 7ms/step - loss: 0.5005 - acc: 0.7516 - val_loss: 0.4796 - val_acc: 0.7673
Epoch 17/50
1/102 [..............................] - ETA: 0s - loss: 0.4515 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.5137 - acc: 0.7365
34/102 [=========>....................] - ETA: 0s - loss: 0.5135 - acc: 0.7465
49/102 [=============>................] - ETA: 0s - loss: 0.5234 - acc: 0.7400
65/102 [==================>...........] - ETA: 0s - loss: 0.5183 - acc: 0.7428
81/102 [======================>.......] - ETA: 0s - loss: 0.5078 - acc: 0.7477
98/102 [===========================>..] - ETA: 0s - loss: 0.5048 - acc: 0.7457
102/102 [==============================] - 0s 3ms/step - loss: 0.5034 - acc: 0.7459
102/102 [==============================] - 1s 5ms/step - loss: 0.5034 - acc: 0.7459 - val_loss: 0.4826 - val_acc: 0.7673
Epoch 18/50
1/102 [..............................] - ETA: 0s - loss: 0.3608 - acc: 0.8200
17/102 [====>.........................] - ETA: 0s - loss: 0.4954 - acc: 0.7694
34/102 [=========>....................] - ETA: 0s - loss: 0.4952 - acc: 0.7582
49/102 [=============>................] - ETA: 0s - loss: 0.4941 - acc: 0.7604
66/102 [==================>...........] - ETA: 0s - loss: 0.4969 - acc: 0.7518
80/102 [======================>.......] - ETA: 0s - loss: 0.4949 - acc: 0.7517
96/102 [===========================>..] - ETA: 0s - loss: 0.4943 - acc: 0.7525
102/102 [==============================] - 0s 3ms/step - loss: 0.4957 - acc: 0.7500
102/102 [==============================] - 1s 6ms/step - loss: 0.4957 - acc: 0.7500 - val_loss: 0.4880 - val_acc: 0.7638
Epoch 19/50
1/102 [..............................] - ETA: 0s - loss: 0.5279 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.5248 - acc: 0.7341
35/102 [=========>....................] - ETA: 0s - loss: 0.5152 - acc: 0.7389
52/102 [==============>...............] - ETA: 0s - loss: 0.5221 - acc: 0.7362
68/102 [===================>..........] - ETA: 0s - loss: 0.5112 - acc: 0.7415
84/102 [=======================>......] - ETA: 0s - loss: 0.5037 - acc: 0.7500
95/102 [==========================>...] - ETA: 0s - loss: 0.5037 - acc: 0.7491
102/102 [==============================] - 0s 4ms/step - loss: 0.5064 - acc: 0.7481
102/102 [==============================] - 1s 6ms/step - loss: 0.5064 - acc: 0.7481 - val_loss: 0.4848 - val_acc: 0.7691
Epoch 20/50
1/102 [..............................] - ETA: 0s - loss: 0.6161 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.5195 - acc: 0.7482
34/102 [=========>....................] - ETA: 0s - loss: 0.5057 - acc: 0.7412
51/102 [==============>...............] - ETA: 0s - loss: 0.5014 - acc: 0.7424
67/102 [==================>...........] - ETA: 0s - loss: 0.4981 - acc: 0.7418
83/102 [=======================>......] - ETA: 0s - loss: 0.4975 - acc: 0.7458
101/102 [============================>.] - ETA: 0s - loss: 0.4997 - acc: 0.7457
102/102 [==============================] - 0s 3ms/step - loss: 0.5007 - acc: 0.7459
102/102 [==============================] - 1s 5ms/step - loss: 0.5007 - acc: 0.7459 - val_loss: 0.4888 - val_acc: 0.7602
Epoch 21/50
1/102 [..............................] - ETA: 0s - loss: 0.4598 - acc: 0.7400
5/102 [>.............................] - ETA: 1s - loss: 0.4977 - acc: 0.7120
23/102 [=====>........................] - ETA: 0s - loss: 0.4991 - acc: 0.7400
32/102 [========>.....................] - ETA: 0s - loss: 0.5022 - acc: 0.7319
49/102 [=============>................] - ETA: 0s - loss: 0.4957 - acc: 0.7420
63/102 [=================>............] - ETA: 0s - loss: 0.4999 - acc: 0.7406
73/102 [====================>.........] - ETA: 0s - loss: 0.4977 - acc: 0.7427
81/102 [======================>.......] - ETA: 0s - loss: 0.5037 - acc: 0.7437
98/102 [===========================>..] - ETA: 0s - loss: 0.5035 - acc: 0.7441
102/102 [==============================] - 0s 5ms/step - loss: 0.5025 - acc: 0.7455
102/102 [==============================] - 1s 8ms/step - loss: 0.5025 - acc: 0.7455 - val_loss: 0.4879 - val_acc: 0.7655
Epoch 22/50
1/102 [..............................] - ETA: 0s - loss: 0.6606 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.5006 - acc: 0.7388
35/102 [=========>....................] - ETA: 0s - loss: 0.4992 - acc: 0.7417
49/102 [=============>................] - ETA: 0s - loss: 0.4964 - acc: 0.7506
65/102 [==================>...........] - ETA: 0s - loss: 0.4946 - acc: 0.7548
80/102 [======================>.......] - ETA: 0s - loss: 0.4940 - acc: 0.7598
89/102 [=========================>....] - ETA: 0s - loss: 0.4990 - acc: 0.7587
95/102 [==========================>...] - ETA: 0s - loss: 0.4991 - acc: 0.7579
102/102 [==============================] - 0s 4ms/step - loss: 0.5000 - acc: 0.7568
102/102 [==============================] - 1s 7ms/step - loss: 0.5000 - acc: 0.7568 - val_loss: 0.4899 - val_acc: 0.7620
Run completed: runs/2024-05-06T19-46-56Z
Training run 40/52 (flags = list(32, 64, 0.001, 50, 30, "sigmoid", "tanh", 0.5, 0.5))
Using run directory runs/2024-05-06T19-47-12Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:47 - loss: 0.8287 - acc: 0.5000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0297s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0297s). Check your callbacks.
18/102 [====>.........................] - ETA: 0s - loss: 0.7304 - acc: 0.5500
35/102 [=========>....................] - ETA: 0s - loss: 0.7391 - acc: 0.5651
51/102 [==============>...............] - ETA: 0s - loss: 0.7286 - acc: 0.5596
67/102 [==================>...........] - ETA: 0s - loss: 0.7230 - acc: 0.5609
73/102 [====================>.........] - ETA: 0s - loss: 0.7143 - acc: 0.5658
88/102 [========================>.....] - ETA: 0s - loss: 0.7054 - acc: 0.5757
102/102 [==============================] - 2s 4ms/step - loss: 0.7055 - acc: 0.5803
102/102 [==============================] - 3s 12ms/step - loss: 0.7055 - acc: 0.5803 - val_loss: 0.6199 - val_acc: 0.6732
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.6361 - acc: 0.6800
14/102 [===>..........................] - ETA: 0s - loss: 0.6498 - acc: 0.5971
22/102 [=====>........................] - ETA: 0s - loss: 0.6465 - acc: 0.6155
31/102 [========>.....................] - ETA: 0s - loss: 0.6439 - acc: 0.6271
48/102 [=============>................] - ETA: 0s - loss: 0.6277 - acc: 0.6375
63/102 [=================>............] - ETA: 0s - loss: 0.6295 - acc: 0.6410
75/102 [=====================>........] - ETA: 0s - loss: 0.6251 - acc: 0.6451
92/102 [==========================>...] - ETA: 0s - loss: 0.6199 - acc: 0.6524
102/102 [==============================] - 0s 4ms/step - loss: 0.6172 - acc: 0.6529
102/102 [==============================] - 1s 6ms/step - loss: 0.6172 - acc: 0.6529 - val_loss: 0.5413 - val_acc: 0.7247
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.7264 - acc: 0.5800
18/102 [====>.........................] - ETA: 0s - loss: 0.6012 - acc: 0.6878
34/102 [=========>....................] - ETA: 0s - loss: 0.5875 - acc: 0.6900
49/102 [=============>................] - ETA: 0s - loss: 0.5882 - acc: 0.6820
66/102 [==================>...........] - ETA: 0s - loss: 0.5805 - acc: 0.6842
83/102 [=======================>......] - ETA: 0s - loss: 0.5813 - acc: 0.6875
98/102 [===========================>..] - ETA: 0s - loss: 0.5780 - acc: 0.6884
102/102 [==============================] - 0s 3ms/step - loss: 0.5757 - acc: 0.6903
102/102 [==============================] - 1s 5ms/step - loss: 0.5757 - acc: 0.6903 - val_loss: 0.4861 - val_acc: 0.7673
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.6426 - acc: 0.7200
16/102 [===>..........................] - ETA: 0s - loss: 0.5467 - acc: 0.7113
33/102 [========>.....................] - ETA: 0s - loss: 0.5585 - acc: 0.7200
50/102 [=============>................] - ETA: 0s - loss: 0.5577 - acc: 0.7164
65/102 [==================>...........] - ETA: 0s - loss: 0.5464 - acc: 0.7209
81/102 [======================>.......] - ETA: 0s - loss: 0.5570 - acc: 0.7160
96/102 [===========================>..] - ETA: 0s - loss: 0.5507 - acc: 0.7163
102/102 [==============================] - 0s 3ms/step - loss: 0.5544 - acc: 0.7175
102/102 [==============================] - 1s 6ms/step - loss: 0.5544 - acc: 0.7175 - val_loss: 0.4760 - val_acc: 0.7709
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.6567 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5444 - acc: 0.7247
34/102 [=========>....................] - ETA: 0s - loss: 0.5231 - acc: 0.7376
51/102 [==============>...............] - ETA: 0s - loss: 0.5215 - acc: 0.7420
67/102 [==================>...........] - ETA: 0s - loss: 0.5206 - acc: 0.7376
83/102 [=======================>......] - ETA: 0s - loss: 0.5300 - acc: 0.7316
101/102 [============================>.] - ETA: 0s - loss: 0.5297 - acc: 0.7350
102/102 [==============================] - 0s 3ms/step - loss: 0.5299 - acc: 0.7349
102/102 [==============================] - 1s 6ms/step - loss: 0.5299 - acc: 0.7349 - val_loss: 0.5057 - val_acc: 0.7567
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.5400 - acc: 0.7200
7/102 [=>............................] - ETA: 0s - loss: 0.5786 - acc: 0.7057
24/102 [======>.......................] - ETA: 0s - loss: 0.5637 - acc: 0.7050
41/102 [===========>..................] - ETA: 0s - loss: 0.5525 - acc: 0.7176
49/102 [=============>................] - ETA: 0s - loss: 0.5507 - acc: 0.7163
64/102 [=================>............] - ETA: 0s - loss: 0.5453 - acc: 0.7191
80/102 [======================>.......] - ETA: 0s - loss: 0.5423 - acc: 0.7237
94/102 [==========================>...] - ETA: 0s - loss: 0.5364 - acc: 0.7279
102/102 [==============================] - 0s 4ms/step - loss: 0.5349 - acc: 0.7282
102/102 [==============================] - 1s 7ms/step - loss: 0.5349 - acc: 0.7282 - val_loss: 0.4633 - val_acc: 0.7691
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.5344 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.5036 - acc: 0.7788
35/102 [=========>....................] - ETA: 0s - loss: 0.5120 - acc: 0.7543
52/102 [==============>...............] - ETA: 0s - loss: 0.5222 - acc: 0.7488
68/102 [===================>..........] - ETA: 0s - loss: 0.5335 - acc: 0.7368
82/102 [=======================>......] - ETA: 0s - loss: 0.5300 - acc: 0.7363
89/102 [=========================>....] - ETA: 0s - loss: 0.5283 - acc: 0.7375
99/102 [============================>.] - ETA: 0s - loss: 0.5253 - acc: 0.7386
102/102 [==============================] - 0s 4ms/step - loss: 0.5245 - acc: 0.7386
102/102 [==============================] - 1s 8ms/step - loss: 0.5245 - acc: 0.7386 - val_loss: 0.4865 - val_acc: 0.7638
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.5730 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5532 - acc: 0.7482
30/102 [=======>......................] - ETA: 0s - loss: 0.5336 - acc: 0.7420
46/102 [============>.................] - ETA: 0s - loss: 0.5415 - acc: 0.7365
62/102 [=================>............] - ETA: 0s - loss: 0.5308 - acc: 0.7368
79/102 [======================>.......] - ETA: 0s - loss: 0.5289 - acc: 0.7377
96/102 [===========================>..] - ETA: 0s - loss: 0.5266 - acc: 0.7354
102/102 [==============================] - 0s 3ms/step - loss: 0.5249 - acc: 0.7366
102/102 [==============================] - 1s 6ms/step - loss: 0.5249 - acc: 0.7366 - val_loss: 0.4745 - val_acc: 0.7655
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.5936 - acc: 0.7000
12/102 [==>...........................] - ETA: 0s - loss: 0.5047 - acc: 0.7500
29/102 [=======>......................] - ETA: 0s - loss: 0.5056 - acc: 0.7600
42/102 [===========>..................] - ETA: 0s - loss: 0.5150 - acc: 0.7548
50/102 [=============>................] - ETA: 0s - loss: 0.5152 - acc: 0.7504
67/102 [==================>...........] - ETA: 0s - loss: 0.5129 - acc: 0.7484
84/102 [=======================>......] - ETA: 0s - loss: 0.5101 - acc: 0.7448
98/102 [===========================>..] - ETA: 0s - loss: 0.5104 - acc: 0.7469
102/102 [==============================] - 0s 4ms/step - loss: 0.5103 - acc: 0.7467
102/102 [==============================] - 1s 7ms/step - loss: 0.5103 - acc: 0.7467 - val_loss: 0.4865 - val_acc: 0.7638
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.5910 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.4833 - acc: 0.7424
35/102 [=========>....................] - ETA: 0s - loss: 0.5015 - acc: 0.7497
51/102 [==============>...............] - ETA: 0s - loss: 0.5148 - acc: 0.7357
64/102 [=================>............] - ETA: 0s - loss: 0.5258 - acc: 0.7344
77/102 [=====================>........] - ETA: 0s - loss: 0.5210 - acc: 0.7325
87/102 [========================>.....] - ETA: 0s - loss: 0.5159 - acc: 0.7349
99/102 [============================>.] - ETA: 0s - loss: 0.5137 - acc: 0.7386
102/102 [==============================] - 0s 4ms/step - loss: 0.5164 - acc: 0.7374
102/102 [==============================] - 1s 6ms/step - loss: 0.5164 - acc: 0.7374 - val_loss: 0.4761 - val_acc: 0.7655
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.5635 - acc: 0.6400
17/102 [====>.........................] - ETA: 0s - loss: 0.4874 - acc: 0.7412
34/102 [=========>....................] - ETA: 0s - loss: 0.5055 - acc: 0.7359
51/102 [==============>...............] - ETA: 0s - loss: 0.5181 - acc: 0.7318
67/102 [==================>...........] - ETA: 0s - loss: 0.5211 - acc: 0.7328
82/102 [=======================>......] - ETA: 0s - loss: 0.5171 - acc: 0.7356
99/102 [============================>.] - ETA: 0s - loss: 0.5092 - acc: 0.7400
102/102 [==============================] - 0s 3ms/step - loss: 0.5090 - acc: 0.7394
102/102 [==============================] - 1s 6ms/step - loss: 0.5090 - acc: 0.7394 - val_loss: 0.4837 - val_acc: 0.7638
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.5220 - acc: 0.6400
11/102 [==>...........................] - ETA: 0s - loss: 0.5021 - acc: 0.7436
27/102 [======>.......................] - ETA: 0s - loss: 0.5136 - acc: 0.7378
37/102 [=========>....................] - ETA: 0s - loss: 0.5132 - acc: 0.7384
49/102 [=============>................] - ETA: 0s - loss: 0.4943 - acc: 0.7478
65/102 [==================>...........] - ETA: 0s - loss: 0.4990 - acc: 0.7523
82/102 [=======================>......] - ETA: 0s - loss: 0.5017 - acc: 0.7502
96/102 [===========================>..] - ETA: 0s - loss: 0.5037 - acc: 0.7465
102/102 [==============================] - 0s 4ms/step - loss: 0.5024 - acc: 0.7461
102/102 [==============================] - 1s 8ms/step - loss: 0.5024 - acc: 0.7461 - val_loss: 0.4837 - val_acc: 0.7638
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.4849 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.5287 - acc: 0.7365
35/102 [=========>....................] - ETA: 0s - loss: 0.5105 - acc: 0.7423
52/102 [==============>...............] - ETA: 0s - loss: 0.5077 - acc: 0.7465
67/102 [==================>...........] - ETA: 0s - loss: 0.4965 - acc: 0.7564
78/102 [=====================>........] - ETA: 0s - loss: 0.4988 - acc: 0.7521
83/102 [=======================>......] - ETA: 0s - loss: 0.5015 - acc: 0.7494
99/102 [============================>.] - ETA: 0s - loss: 0.5084 - acc: 0.7446
102/102 [==============================] - 0s 4ms/step - loss: 0.5070 - acc: 0.7457
102/102 [==============================] - 1s 6ms/step - loss: 0.5070 - acc: 0.7457 - val_loss: 0.4933 - val_acc: 0.7584
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.6118 - acc: 0.6200
17/102 [====>.........................] - ETA: 0s - loss: 0.5161 - acc: 0.7341
33/102 [========>.....................] - ETA: 0s - loss: 0.4938 - acc: 0.7364
50/102 [=============>................] - ETA: 0s - loss: 0.5043 - acc: 0.7384
66/102 [==================>...........] - ETA: 0s - loss: 0.4972 - acc: 0.7418
82/102 [=======================>......] - ETA: 0s - loss: 0.5029 - acc: 0.7388
99/102 [============================>.] - ETA: 0s - loss: 0.5101 - acc: 0.7396
102/102 [==============================] - 0s 3ms/step - loss: 0.5091 - acc: 0.7390
102/102 [==============================] - 1s 5ms/step - loss: 0.5091 - acc: 0.7390 - val_loss: 0.5017 - val_acc: 0.7478
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.5418 - acc: 0.6200
18/102 [====>.........................] - ETA: 0s - loss: 0.5213 - acc: 0.6944
36/102 [=========>....................] - ETA: 0s - loss: 0.5083 - acc: 0.7239
46/102 [============>.................] - ETA: 0s - loss: 0.5107 - acc: 0.7287
61/102 [================>.............] - ETA: 0s - loss: 0.5039 - acc: 0.7302
78/102 [=====================>........] - ETA: 0s - loss: 0.5082 - acc: 0.7310
92/102 [==========================>...] - ETA: 0s - loss: 0.5078 - acc: 0.7335
102/102 [==============================] - 0s 3ms/step - loss: 0.5038 - acc: 0.7372
102/102 [==============================] - 1s 6ms/step - loss: 0.5038 - acc: 0.7372 - val_loss: 0.4852 - val_acc: 0.7638
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.4503 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.5134 - acc: 0.7647
34/102 [=========>....................] - ETA: 0s - loss: 0.5188 - acc: 0.7424
52/102 [==============>...............] - ETA: 0s - loss: 0.5190 - acc: 0.7358
65/102 [==================>...........] - ETA: 0s - loss: 0.5194 - acc: 0.7326
82/102 [=======================>......] - ETA: 0s - loss: 0.5074 - acc: 0.7373
98/102 [===========================>..] - ETA: 0s - loss: 0.5037 - acc: 0.7412
102/102 [==============================] - 0s 3ms/step - loss: 0.5045 - acc: 0.7416
102/102 [==============================] - 1s 6ms/step - loss: 0.5045 - acc: 0.7416 - val_loss: 0.4708 - val_acc: 0.7673
Run completed: runs/2024-05-06T19-47-12Z
Training run 41/52 (flags = list(16, 16, 0.001, 20, 50, "sigmoid", "relu", 0.2, 0.5))
Using run directory runs/2024-05-06T19-47-26Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:10 - loss: 1.6701 - acc: 0.5000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0012s vs `on_train_batch_end` time: 0.0332s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0012s vs `on_train_batch_end` time: 0.0332s). Check your callbacks.
18/254 [=>............................] - ETA: 0s - loss: 0.8884 - acc: 0.7056
36/254 [===>..........................] - ETA: 0s - loss: 0.8390 - acc: 0.6694
55/254 [=====>........................] - ETA: 0s - loss: 0.7961 - acc: 0.6464
73/254 [=======>......................] - ETA: 0s - loss: 0.7719 - acc: 0.6329
93/254 [=========>....................] - ETA: 0s - loss: 0.7501 - acc: 0.6280
112/254 [============>.................] - ETA: 0s - loss: 0.7320 - acc: 0.6268
131/254 [==============>...............] - ETA: 0s - loss: 0.7225 - acc: 0.6172
150/254 [================>.............] - ETA: 0s - loss: 0.7137 - acc: 0.6173
167/254 [==================>...........] - ETA: 0s - loss: 0.7008 - acc: 0.6219
184/254 [====================>.........] - ETA: 0s - loss: 0.6918 - acc: 0.6272
202/254 [======================>.......] - ETA: 0s - loss: 0.6878 - acc: 0.6309
220/254 [========================>.....] - ETA: 0s - loss: 0.6847 - acc: 0.6325
238/254 [===========================>..] - ETA: 0s - loss: 0.6762 - acc: 0.6357
246/254 [============================>.] - ETA: 0s - loss: 0.6740 - acc: 0.6368
254/254 [==============================] - 2s 3ms/step - loss: 0.6702 - acc: 0.6377
254/254 [==============================] - 3s 6ms/step - loss: 0.6702 - acc: 0.6377 - val_loss: 0.5529 - val_acc: 0.7460
Epoch 2/50
1/254 [..............................] - ETA: 1s - loss: 0.7034 - acc: 0.7000
12/254 [>.............................] - ETA: 1s - loss: 0.6154 - acc: 0.6250
30/254 [==>...........................] - ETA: 0s - loss: 0.6007 - acc: 0.6633
48/254 [====>.........................] - ETA: 0s - loss: 0.5974 - acc: 0.6667
63/254 [======>.......................] - ETA: 0s - loss: 0.5877 - acc: 0.6730
81/254 [========>.....................] - ETA: 0s - loss: 0.5816 - acc: 0.6778
99/254 [==========>...................] - ETA: 0s - loss: 0.5838 - acc: 0.6818
113/254 [============>.................] - ETA: 0s - loss: 0.5861 - acc: 0.6752
122/254 [=============>................] - ETA: 0s - loss: 0.5831 - acc: 0.6754
140/254 [===============>..............] - ETA: 0s - loss: 0.5789 - acc: 0.6811
157/254 [=================>............] - ETA: 0s - loss: 0.5758 - acc: 0.6860
172/254 [===================>..........] - ETA: 0s - loss: 0.5801 - acc: 0.6866
184/254 [====================>.........] - ETA: 0s - loss: 0.5824 - acc: 0.6842
196/254 [======================>.......] - ETA: 0s - loss: 0.5811 - acc: 0.6852
214/254 [========================>.....] - ETA: 0s - loss: 0.5838 - acc: 0.6836
228/254 [=========================>....] - ETA: 0s - loss: 0.5805 - acc: 0.6864
244/254 [===========================>..] - ETA: 0s - loss: 0.5806 - acc: 0.6867
254/254 [==============================] - 1s 3ms/step - loss: 0.5783 - acc: 0.6899
254/254 [==============================] - 1s 4ms/step - loss: 0.5783 - acc: 0.6899 - val_loss: 0.5198 - val_acc: 0.7478
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.6817 - acc: 0.7500
20/254 [=>............................] - ETA: 0s - loss: 0.5710 - acc: 0.7125
39/254 [===>..........................] - ETA: 0s - loss: 0.5594 - acc: 0.7179
57/254 [=====>........................] - ETA: 0s - loss: 0.5555 - acc: 0.7272
76/254 [=======>......................] - ETA: 0s - loss: 0.5526 - acc: 0.7237
91/254 [=========>....................] - ETA: 0s - loss: 0.5493 - acc: 0.7236
110/254 [===========>..................] - ETA: 0s - loss: 0.5489 - acc: 0.7255
119/254 [=============>................] - ETA: 0s - loss: 0.5458 - acc: 0.7269
121/254 [=============>................] - ETA: 0s - loss: 0.5474 - acc: 0.7269
138/254 [===============>..............] - ETA: 0s - loss: 0.5518 - acc: 0.7286
155/254 [=================>............] - ETA: 0s - loss: 0.5493 - acc: 0.7323
174/254 [===================>..........] - ETA: 0s - loss: 0.5537 - acc: 0.7273
187/254 [=====================>........] - ETA: 0s - loss: 0.5560 - acc: 0.7254
205/254 [=======================>......] - ETA: 0s - loss: 0.5545 - acc: 0.7227
222/254 [=========================>....] - ETA: 0s - loss: 0.5560 - acc: 0.7230
239/254 [===========================>..] - ETA: 0s - loss: 0.5546 - acc: 0.7245
254/254 [==============================] - 1s 3ms/step - loss: 0.5514 - acc: 0.7258
254/254 [==============================] - 1s 5ms/step - loss: 0.5514 - acc: 0.7258 - val_loss: 0.4982 - val_acc: 0.7584
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.4121 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5095 - acc: 0.7444
37/254 [===>..........................] - ETA: 0s - loss: 0.5274 - acc: 0.7459
55/254 [=====>........................] - ETA: 0s - loss: 0.5057 - acc: 0.7564
62/254 [======>.......................] - ETA: 0s - loss: 0.5157 - acc: 0.7565
75/254 [=======>......................] - ETA: 0s - loss: 0.5195 - acc: 0.7527
91/254 [=========>....................] - ETA: 0s - loss: 0.5228 - acc: 0.7462
98/254 [==========>...................] - ETA: 0s - loss: 0.5212 - acc: 0.7474
117/254 [============>.................] - ETA: 0s - loss: 0.5219 - acc: 0.7389
131/254 [==============>...............] - ETA: 0s - loss: 0.5258 - acc: 0.7340
150/254 [================>.............] - ETA: 0s - loss: 0.5269 - acc: 0.7287
169/254 [==================>...........] - ETA: 0s - loss: 0.5234 - acc: 0.7305
185/254 [====================>.........] - ETA: 0s - loss: 0.5262 - acc: 0.7273
201/254 [======================>.......] - ETA: 0s - loss: 0.5320 - acc: 0.7244
217/254 [========================>.....] - ETA: 0s - loss: 0.5327 - acc: 0.7240
235/254 [==========================>...] - ETA: 0s - loss: 0.5292 - acc: 0.7262
254/254 [==============================] - 1s 3ms/step - loss: 0.5294 - acc: 0.7254
254/254 [==============================] - 1s 4ms/step - loss: 0.5294 - acc: 0.7254 - val_loss: 0.4855 - val_acc: 0.7549
Epoch 5/50
1/254 [..............................] - ETA: 0s - loss: 0.4132 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4959 - acc: 0.7389
29/254 [==>...........................] - ETA: 0s - loss: 0.5261 - acc: 0.7431
40/254 [===>..........................] - ETA: 0s - loss: 0.5345 - acc: 0.7400
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254/254 [==============================] - 1s 3ms/step - loss: 0.5303 - acc: 0.7351
254/254 [==============================] - 1s 4ms/step - loss: 0.5303 - acc: 0.7351 - val_loss: 0.4743 - val_acc: 0.7655
Epoch 6/50
1/254 [..............................] - ETA: 1s - loss: 0.6639 - acc: 0.7000
3/254 [..............................] - ETA: 11s - loss: 0.5887 - acc: 0.6667
21/254 [=>............................] - ETA: 2s - loss: 0.5138 - acc: 0.7571
39/254 [===>..........................] - ETA: 1s - loss: 0.4893 - acc: 0.7731
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82/254 [========>.....................] - ETA: 0s - loss: 0.5148 - acc: 0.7561
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152/254 [================>.............] - ETA: 0s - loss: 0.5319 - acc: 0.7418
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254/254 [==============================] - 1s 3ms/step - loss: 0.5292 - acc: 0.7390
254/254 [==============================] - 1s 5ms/step - loss: 0.5292 - acc: 0.7390 - val_loss: 0.4799 - val_acc: 0.7567
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.3643 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5329 - acc: 0.7342
38/254 [===>..........................] - ETA: 0s - loss: 0.5298 - acc: 0.7329
58/254 [=====>........................] - ETA: 0s - loss: 0.5190 - acc: 0.7284
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113/254 [============>.................] - ETA: 0s - loss: 0.5266 - acc: 0.7314
131/254 [==============>...............] - ETA: 0s - loss: 0.5242 - acc: 0.7298
151/254 [================>.............] - ETA: 0s - loss: 0.5210 - acc: 0.7331
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188/254 [=====================>........] - ETA: 0s - loss: 0.5258 - acc: 0.7322
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243/254 [===========================>..] - ETA: 0s - loss: 0.5241 - acc: 0.7290
254/254 [==============================] - 1s 3ms/step - loss: 0.5242 - acc: 0.7305
254/254 [==============================] - 1s 4ms/step - loss: 0.5242 - acc: 0.7305 - val_loss: 0.4900 - val_acc: 0.7513
Epoch 8/50
1/254 [..............................] - ETA: 0s - loss: 0.4088 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5178 - acc: 0.7333
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53/254 [=====>........................] - ETA: 0s - loss: 0.5314 - acc: 0.7321
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88/254 [=========>....................] - ETA: 0s - loss: 0.5328 - acc: 0.7244
107/254 [===========>..................] - ETA: 0s - loss: 0.5307 - acc: 0.7238
125/254 [=============>................] - ETA: 0s - loss: 0.5282 - acc: 0.7260
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159/254 [=================>............] - ETA: 0s - loss: 0.5203 - acc: 0.7324
164/254 [==================>...........] - ETA: 0s - loss: 0.5199 - acc: 0.7323
182/254 [====================>.........] - ETA: 0s - loss: 0.5204 - acc: 0.7330
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218/254 [========================>.....] - ETA: 0s - loss: 0.5212 - acc: 0.7333
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254/254 [==============================] - 1s 3ms/step - loss: 0.5203 - acc: 0.7339
254/254 [==============================] - 1s 4ms/step - loss: 0.5203 - acc: 0.7339 - val_loss: 0.4762 - val_acc: 0.7655
Epoch 9/50
1/254 [..............................] - ETA: 1s - loss: 0.4396 - acc: 0.8500
12/254 [>.............................] - ETA: 1s - loss: 0.4784 - acc: 0.7667
29/254 [==>...........................] - ETA: 0s - loss: 0.5007 - acc: 0.7483
44/254 [====>.........................] - ETA: 0s - loss: 0.5117 - acc: 0.7364
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73/254 [=======>......................] - ETA: 0s - loss: 0.5019 - acc: 0.7432
88/254 [=========>....................] - ETA: 0s - loss: 0.4964 - acc: 0.7403
103/254 [===========>..................] - ETA: 0s - loss: 0.4993 - acc: 0.7393
119/254 [=============>................] - ETA: 0s - loss: 0.4990 - acc: 0.7412
135/254 [==============>...............] - ETA: 0s - loss: 0.5018 - acc: 0.7404
153/254 [=================>............] - ETA: 0s - loss: 0.4993 - acc: 0.7451
171/254 [===================>..........] - ETA: 0s - loss: 0.5000 - acc: 0.7471
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254/254 [==============================] - 1s 3ms/step - loss: 0.5057 - acc: 0.7431
254/254 [==============================] - 1s 5ms/step - loss: 0.5057 - acc: 0.7431 - val_loss: 0.4866 - val_acc: 0.7549
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.9246 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.5300 - acc: 0.7211
39/254 [===>..........................] - ETA: 0s - loss: 0.5473 - acc: 0.6987
58/254 [=====>........................] - ETA: 0s - loss: 0.5135 - acc: 0.7190
77/254 [========>.....................] - ETA: 0s - loss: 0.5165 - acc: 0.7325
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113/254 [============>.................] - ETA: 0s - loss: 0.5157 - acc: 0.7345
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149/254 [================>.............] - ETA: 0s - loss: 0.5184 - acc: 0.7352
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240/254 [===========================>..] - ETA: 0s - loss: 0.5094 - acc: 0.7373
254/254 [==============================] - 1s 3ms/step - loss: 0.5089 - acc: 0.7370
254/254 [==============================] - 1s 4ms/step - loss: 0.5089 - acc: 0.7370 - val_loss: 0.4705 - val_acc: 0.7638
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.3693 - acc: 0.9000
19/254 [=>............................] - ETA: 0s - loss: 0.5223 - acc: 0.7316
32/254 [==>...........................] - ETA: 0s - loss: 0.4857 - acc: 0.7609
50/254 [====>.........................] - ETA: 0s - loss: 0.4977 - acc: 0.7480
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104/254 [===========>..................] - ETA: 0s - loss: 0.5277 - acc: 0.7389
112/254 [============>.................] - ETA: 0s - loss: 0.5215 - acc: 0.7402
130/254 [==============>...............] - ETA: 0s - loss: 0.5295 - acc: 0.7308
148/254 [================>.............] - ETA: 0s - loss: 0.5342 - acc: 0.7307
164/254 [==================>...........] - ETA: 0s - loss: 0.5305 - acc: 0.7274
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254/254 [==============================] - 1s 3ms/step - loss: 0.5193 - acc: 0.7323
254/254 [==============================] - 1s 4ms/step - loss: 0.5193 - acc: 0.7323 - val_loss: 0.4731 - val_acc: 0.7673
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.3354 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.5340 - acc: 0.7211
39/254 [===>..........................] - ETA: 0s - loss: 0.4913 - acc: 0.7423
58/254 [=====>........................] - ETA: 0s - loss: 0.5141 - acc: 0.7276
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93/254 [=========>....................] - ETA: 0s - loss: 0.5106 - acc: 0.7328
104/254 [===========>..................] - ETA: 0s - loss: 0.5131 - acc: 0.7351
112/254 [============>.................] - ETA: 0s - loss: 0.5150 - acc: 0.7304
131/254 [==============>...............] - ETA: 0s - loss: 0.5189 - acc: 0.7256
147/254 [================>.............] - ETA: 0s - loss: 0.5209 - acc: 0.7245
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181/254 [====================>.........] - ETA: 0s - loss: 0.5193 - acc: 0.7276
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253/254 [============================>.] - ETA: 0s - loss: 0.5141 - acc: 0.7326
254/254 [==============================] - 1s 3ms/step - loss: 0.5141 - acc: 0.7325
254/254 [==============================] - 1s 4ms/step - loss: 0.5141 - acc: 0.7325 - val_loss: 0.4861 - val_acc: 0.7478
Epoch 13/50
1/254 [..............................] - ETA: 0s - loss: 0.3630 - acc: 0.8000
20/254 [=>............................] - ETA: 0s - loss: 0.5343 - acc: 0.7075
40/254 [===>..........................] - ETA: 0s - loss: 0.5355 - acc: 0.7312
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91/254 [=========>....................] - ETA: 0s - loss: 0.5109 - acc: 0.7357
98/254 [==========>...................] - ETA: 0s - loss: 0.5099 - acc: 0.7316
117/254 [============>.................] - ETA: 0s - loss: 0.5022 - acc: 0.7415
136/254 [===============>..............] - ETA: 0s - loss: 0.5067 - acc: 0.7379
150/254 [================>.............] - ETA: 0s - loss: 0.5050 - acc: 0.7383
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187/254 [=====================>........] - ETA: 0s - loss: 0.5110 - acc: 0.7353
206/254 [=======================>......] - ETA: 0s - loss: 0.5099 - acc: 0.7350
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239/254 [===========================>..] - ETA: 0s - loss: 0.5106 - acc: 0.7308
254/254 [==============================] - 1s 3ms/step - loss: 0.5070 - acc: 0.7319
254/254 [==============================] - 1s 4ms/step - loss: 0.5070 - acc: 0.7319 - val_loss: 0.4821 - val_acc: 0.7513
Epoch 14/50
1/254 [..............................] - ETA: 0s - loss: 0.4638 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.5021 - acc: 0.7026
37/254 [===>..........................] - ETA: 0s - loss: 0.4863 - acc: 0.7297
48/254 [====>.........................] - ETA: 0s - loss: 0.5236 - acc: 0.7208
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78/254 [========>.....................] - ETA: 0s - loss: 0.5181 - acc: 0.7321
92/254 [=========>....................] - ETA: 0s - loss: 0.5201 - acc: 0.7299
110/254 [===========>..................] - ETA: 0s - loss: 0.5193 - acc: 0.7286
128/254 [==============>...............] - ETA: 0s - loss: 0.5182 - acc: 0.7281
145/254 [================>.............] - ETA: 0s - loss: 0.5184 - acc: 0.7300
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181/254 [====================>.........] - ETA: 0s - loss: 0.5060 - acc: 0.7359
199/254 [======================>.......] - ETA: 0s - loss: 0.5030 - acc: 0.7379
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252/254 [============================>.] - ETA: 0s - loss: 0.5055 - acc: 0.7335
254/254 [==============================] - 1s 3ms/step - loss: 0.5067 - acc: 0.7333
254/254 [==============================] - 1s 4ms/step - loss: 0.5067 - acc: 0.7333 - val_loss: 0.4736 - val_acc: 0.7549
Epoch 15/50
1/254 [..............................] - ETA: 0s - loss: 0.3610 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4215 - acc: 0.7556
37/254 [===>..........................] - ETA: 0s - loss: 0.4652 - acc: 0.7743
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92/254 [=========>....................] - ETA: 0s - loss: 0.5016 - acc: 0.7500
112/254 [============>.................] - ETA: 0s - loss: 0.5103 - acc: 0.7411
129/254 [==============>...............] - ETA: 0s - loss: 0.5149 - acc: 0.7357
148/254 [================>.............] - ETA: 0s - loss: 0.5120 - acc: 0.7358
166/254 [==================>...........] - ETA: 0s - loss: 0.5128 - acc: 0.7349
184/254 [====================>.........] - ETA: 0s - loss: 0.5140 - acc: 0.7342
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238/254 [===========================>..] - ETA: 0s - loss: 0.5148 - acc: 0.7349
254/254 [==============================] - 1s 3ms/step - loss: 0.5148 - acc: 0.7325
254/254 [==============================] - 1s 4ms/step - loss: 0.5148 - acc: 0.7325 - val_loss: 0.4946 - val_acc: 0.7442
Epoch 16/50
1/254 [..............................] - ETA: 1s - loss: 0.4595 - acc: 0.6500
13/254 [>.............................] - ETA: 1s - loss: 0.4641 - acc: 0.7385
31/254 [==>...........................] - ETA: 0s - loss: 0.5205 - acc: 0.7258
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121/254 [=============>................] - ETA: 0s - loss: 0.5064 - acc: 0.7277
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250/254 [============================>.] - ETA: 0s - loss: 0.5162 - acc: 0.7302
254/254 [==============================] - 1s 3ms/step - loss: 0.5154 - acc: 0.7311
254/254 [==============================] - 1s 4ms/step - loss: 0.5154 - acc: 0.7311 - val_loss: 0.4978 - val_acc: 0.7389
Epoch 17/50
1/254 [..............................] - ETA: 4s - loss: 0.4692 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4785 - acc: 0.7605
36/254 [===>..........................] - ETA: 0s - loss: 0.4953 - acc: 0.7542
46/254 [====>.........................] - ETA: 0s - loss: 0.4769 - acc: 0.7554
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83/254 [========>.....................] - ETA: 0s - loss: 0.4851 - acc: 0.7590
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116/254 [============>.................] - ETA: 0s - loss: 0.4924 - acc: 0.7500
134/254 [==============>...............] - ETA: 0s - loss: 0.4931 - acc: 0.7459
152/254 [================>.............] - ETA: 0s - loss: 0.4946 - acc: 0.7447
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187/254 [=====================>........] - ETA: 0s - loss: 0.4961 - acc: 0.7449
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224/254 [=========================>....] - ETA: 0s - loss: 0.4984 - acc: 0.7413
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254/254 [==============================] - 1s 3ms/step - loss: 0.5007 - acc: 0.7408
254/254 [==============================] - 1s 4ms/step - loss: 0.5007 - acc: 0.7408 - val_loss: 0.4792 - val_acc: 0.7638
Epoch 18/50
1/254 [..............................] - ETA: 0s - loss: 0.6214 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.5197 - acc: 0.7342
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102/254 [===========>..................] - ETA: 0s - loss: 0.4925 - acc: 0.7368
121/254 [=============>................] - ETA: 0s - loss: 0.4917 - acc: 0.7401
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254/254 [==============================] - 1s 4ms/step - loss: 0.5076 - acc: 0.7400
254/254 [==============================] - 1s 5ms/step - loss: 0.5076 - acc: 0.7400 - val_loss: 0.4904 - val_acc: 0.7442
Epoch 19/50
1/254 [..............................] - ETA: 0s - loss: 0.4571 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5098 - acc: 0.7289
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182/254 [====================>.........] - ETA: 0s - loss: 0.4962 - acc: 0.7365
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220/254 [========================>.....] - ETA: 0s - loss: 0.5052 - acc: 0.7325
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250/254 [============================>.] - ETA: 0s - loss: 0.5024 - acc: 0.7328
254/254 [==============================] - 1s 3ms/step - loss: 0.5021 - acc: 0.7329
254/254 [==============================] - 1s 4ms/step - loss: 0.5021 - acc: 0.7329 - val_loss: 0.4870 - val_acc: 0.7478
Epoch 20/50
1/254 [..............................] - ETA: 1s - loss: 0.4389 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.4590 - acc: 0.7824
36/254 [===>..........................] - ETA: 0s - loss: 0.4895 - acc: 0.7639
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127/254 [==============>...............] - ETA: 0s - loss: 0.4840 - acc: 0.7531
146/254 [================>.............] - ETA: 0s - loss: 0.4947 - acc: 0.7455
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182/254 [====================>.........] - ETA: 0s - loss: 0.4967 - acc: 0.7511
201/254 [======================>.......] - ETA: 0s - loss: 0.4990 - acc: 0.7483
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240/254 [===========================>..] - ETA: 0s - loss: 0.5051 - acc: 0.7435
254/254 [==============================] - 1s 3ms/step - loss: 0.5045 - acc: 0.7414
254/254 [==============================] - 1s 4ms/step - loss: 0.5045 - acc: 0.7414 - val_loss: 0.5045 - val_acc: 0.7300
Run completed: runs/2024-05-06T19-47-26Z
Training run 42/52 (flags = list(32, 64, 0.01, 20, 30, "relu", "relu", 0.2, 0.5))
Using run directory runs/2024-05-06T19-47-50Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 5:07 - loss: 0.7397 - acc: 0.4000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
19/254 [=>............................] - ETA: 0s - loss: 0.7648 - acc: 0.3868
37/254 [===>..........................] - ETA: 0s - loss: 0.7254 - acc: 0.4365
55/254 [=====>........................] - ETA: 0s - loss: 0.6817 - acc: 0.5191
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178/254 [====================>.........] - ETA: 0s - loss: 0.6005 - acc: 0.6514
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202/254 [======================>.......] - ETA: 0s - loss: 0.5905 - acc: 0.6636
219/254 [========================>.....] - ETA: 0s - loss: 0.5785 - acc: 0.6724
237/254 [==========================>...] - ETA: 0s - loss: 0.5757 - acc: 0.6795
254/254 [==============================] - 2s 3ms/step - loss: 0.5761 - acc: 0.6826
254/254 [==============================] - 3s 6ms/step - loss: 0.5761 - acc: 0.6826 - val_loss: 0.5114 - val_acc: 0.7549
Epoch 2/30
1/254 [..............................] - ETA: 1s - loss: 0.7614 - acc: 0.7000
12/254 [>.............................] - ETA: 1s - loss: 0.5837 - acc: 0.7375
29/254 [==>...........................] - ETA: 0s - loss: 0.5405 - acc: 0.7362
48/254 [====>.........................] - ETA: 0s - loss: 0.5426 - acc: 0.7385
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75/254 [=======>......................] - ETA: 0s - loss: 0.5425 - acc: 0.7253
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114/254 [============>.................] - ETA: 0s - loss: 0.5405 - acc: 0.7259
132/254 [==============>...............] - ETA: 0s - loss: 0.5304 - acc: 0.7303
146/254 [================>.............] - ETA: 0s - loss: 0.5256 - acc: 0.7342
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187/254 [=====================>........] - ETA: 0s - loss: 0.5288 - acc: 0.7348
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222/254 [=========================>....] - ETA: 0s - loss: 0.5241 - acc: 0.7372
240/254 [===========================>..] - ETA: 0s - loss: 0.5231 - acc: 0.7387
254/254 [==============================] - 1s 4ms/step - loss: 0.5219 - acc: 0.7398
254/254 [==============================] - 1s 5ms/step - loss: 0.5219 - acc: 0.7398 - val_loss: 0.4896 - val_acc: 0.7602
Epoch 3/30
1/254 [..............................] - ETA: 0s - loss: 0.5783 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.5311 - acc: 0.7583
35/254 [===>..........................] - ETA: 0s - loss: 0.5158 - acc: 0.7543
54/254 [=====>........................] - ETA: 0s - loss: 0.4960 - acc: 0.7611
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78/254 [========>.....................] - ETA: 0s - loss: 0.5029 - acc: 0.7506
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101/254 [==========>...................] - ETA: 0s - loss: 0.4914 - acc: 0.7564
110/254 [===========>..................] - ETA: 0s - loss: 0.4918 - acc: 0.7559
129/254 [==============>...............] - ETA: 0s - loss: 0.5005 - acc: 0.7558
142/254 [===============>..............] - ETA: 0s - loss: 0.5014 - acc: 0.7532
161/254 [==================>...........] - ETA: 0s - loss: 0.4988 - acc: 0.7522
179/254 [====================>.........] - ETA: 0s - loss: 0.5004 - acc: 0.7508
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210/254 [=======================>......] - ETA: 0s - loss: 0.4969 - acc: 0.7512
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244/254 [===========================>..] - ETA: 0s - loss: 0.4966 - acc: 0.7504
254/254 [==============================] - 1s 4ms/step - loss: 0.4993 - acc: 0.7471
254/254 [==============================] - 1s 4ms/step - loss: 0.4993 - acc: 0.7471 - val_loss: 0.4733 - val_acc: 0.7620
Epoch 4/30
1/254 [..............................] - ETA: 1s - loss: 0.5676 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.4978 - acc: 0.7441
35/254 [===>..........................] - ETA: 0s - loss: 0.4848 - acc: 0.7500
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72/254 [=======>......................] - ETA: 0s - loss: 0.4847 - acc: 0.7646
83/254 [========>.....................] - ETA: 0s - loss: 0.4935 - acc: 0.7578
101/254 [==========>...................] - ETA: 0s - loss: 0.4929 - acc: 0.7554
120/254 [=============>................] - ETA: 0s - loss: 0.4935 - acc: 0.7558
127/254 [==============>...............] - ETA: 0s - loss: 0.4926 - acc: 0.7567
143/254 [===============>..............] - ETA: 0s - loss: 0.4808 - acc: 0.7640
162/254 [==================>...........] - ETA: 0s - loss: 0.4866 - acc: 0.7614
172/254 [===================>..........] - ETA: 0s - loss: 0.4873 - acc: 0.7605
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205/254 [=======================>......] - ETA: 0s - loss: 0.4882 - acc: 0.7580
223/254 [=========================>....] - ETA: 0s - loss: 0.4948 - acc: 0.7529
240/254 [===========================>..] - ETA: 0s - loss: 0.4955 - acc: 0.7525
254/254 [==============================] - 1s 3ms/step - loss: 0.4953 - acc: 0.7506
254/254 [==============================] - 1s 4ms/step - loss: 0.4953 - acc: 0.7506 - val_loss: 0.4957 - val_acc: 0.7460
Epoch 5/30
1/254 [..............................] - ETA: 2s - loss: 0.8222 - acc: 0.6000
14/254 [>.............................] - ETA: 0s - loss: 0.4871 - acc: 0.7429
31/254 [==>...........................] - ETA: 0s - loss: 0.4617 - acc: 0.7532
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103/254 [===========>..................] - ETA: 0s - loss: 0.4940 - acc: 0.7476
121/254 [=============>................] - ETA: 0s - loss: 0.4873 - acc: 0.7537
127/254 [==============>...............] - ETA: 0s - loss: 0.4853 - acc: 0.7539
131/254 [==============>...............] - ETA: 0s - loss: 0.4898 - acc: 0.7519
149/254 [================>.............] - ETA: 0s - loss: 0.4915 - acc: 0.7527
167/254 [==================>...........] - ETA: 0s - loss: 0.4939 - acc: 0.7503
186/254 [====================>.........] - ETA: 0s - loss: 0.4877 - acc: 0.7519
205/254 [=======================>......] - ETA: 0s - loss: 0.4865 - acc: 0.7512
224/254 [=========================>....] - ETA: 0s - loss: 0.4902 - acc: 0.7509
241/254 [===========================>..] - ETA: 0s - loss: 0.4924 - acc: 0.7488
254/254 [==============================] - 1s 4ms/step - loss: 0.4953 - acc: 0.7483
254/254 [==============================] - 1s 5ms/step - loss: 0.4953 - acc: 0.7483 - val_loss: 0.4882 - val_acc: 0.7513
Epoch 6/30
1/254 [..............................] - ETA: 0s - loss: 0.7831 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4993 - acc: 0.7444
36/254 [===>..........................] - ETA: 0s - loss: 0.4931 - acc: 0.7389
52/254 [=====>........................] - ETA: 0s - loss: 0.4992 - acc: 0.7462
69/254 [=======>......................] - ETA: 0s - loss: 0.4896 - acc: 0.7572
86/254 [=========>....................] - ETA: 0s - loss: 0.4969 - acc: 0.7541
105/254 [===========>..................] - ETA: 0s - loss: 0.4903 - acc: 0.7590
123/254 [=============>................] - ETA: 0s - loss: 0.4848 - acc: 0.7577
141/254 [===============>..............] - ETA: 0s - loss: 0.4789 - acc: 0.7582
158/254 [=================>............] - ETA: 0s - loss: 0.4809 - acc: 0.7570
177/254 [===================>..........] - ETA: 0s - loss: 0.4797 - acc: 0.7588
194/254 [=====================>........] - ETA: 0s - loss: 0.4731 - acc: 0.7637
211/254 [=======================>......] - ETA: 0s - loss: 0.4802 - acc: 0.7630
228/254 [=========================>....] - ETA: 0s - loss: 0.4818 - acc: 0.7610
246/254 [============================>.] - ETA: 0s - loss: 0.4847 - acc: 0.7565
254/254 [==============================] - 1s 3ms/step - loss: 0.4858 - acc: 0.7550
254/254 [==============================] - 1s 4ms/step - loss: 0.4858 - acc: 0.7550 - val_loss: 0.4855 - val_acc: 0.7460
Epoch 7/30
1/254 [..............................] - ETA: 0s - loss: 0.4357 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.4526 - acc: 0.7382
35/254 [===>..........................] - ETA: 0s - loss: 0.4744 - acc: 0.7486
54/254 [=====>........................] - ETA: 0s - loss: 0.4827 - acc: 0.7481
72/254 [=======>......................] - ETA: 0s - loss: 0.4868 - acc: 0.7424
88/254 [=========>....................] - ETA: 0s - loss: 0.4910 - acc: 0.7409
107/254 [===========>..................] - ETA: 0s - loss: 0.4910 - acc: 0.7439
126/254 [=============>................] - ETA: 0s - loss: 0.4868 - acc: 0.7508
143/254 [===============>..............] - ETA: 0s - loss: 0.4876 - acc: 0.7490
161/254 [==================>...........] - ETA: 0s - loss: 0.4888 - acc: 0.7516
180/254 [====================>.........] - ETA: 0s - loss: 0.4905 - acc: 0.7492
193/254 [=====================>........] - ETA: 0s - loss: 0.4903 - acc: 0.7526
211/254 [=======================>......] - ETA: 0s - loss: 0.4879 - acc: 0.7540
227/254 [=========================>....] - ETA: 0s - loss: 0.4911 - acc: 0.7526
245/254 [===========================>..] - ETA: 0s - loss: 0.4906 - acc: 0.7551
254/254 [==============================] - 1s 3ms/step - loss: 0.4900 - acc: 0.7556
254/254 [==============================] - 1s 4ms/step - loss: 0.4900 - acc: 0.7556 - val_loss: 0.4841 - val_acc: 0.7513
Epoch 8/30
1/254 [..............................] - ETA: 1s - loss: 0.4190 - acc: 0.8000
13/254 [>.............................] - ETA: 1s - loss: 0.4078 - acc: 0.7962
25/254 [=>............................] - ETA: 1s - loss: 0.4506 - acc: 0.7740
43/254 [====>.........................] - ETA: 1s - loss: 0.4563 - acc: 0.7756
54/254 [=====>........................] - ETA: 0s - loss: 0.4659 - acc: 0.7722
73/254 [=======>......................] - ETA: 0s - loss: 0.4660 - acc: 0.7671
92/254 [=========>....................] - ETA: 0s - loss: 0.4706 - acc: 0.7636
111/254 [============>.................] - ETA: 0s - loss: 0.4782 - acc: 0.7658
125/254 [=============>................] - ETA: 0s - loss: 0.4812 - acc: 0.7624
142/254 [===============>..............] - ETA: 0s - loss: 0.4831 - acc: 0.7546
159/254 [=================>............] - ETA: 0s - loss: 0.4859 - acc: 0.7525
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212/254 [========================>.....] - ETA: 0s - loss: 0.4832 - acc: 0.7564
224/254 [=========================>....] - ETA: 0s - loss: 0.4858 - acc: 0.7563
231/254 [==========================>...] - ETA: 0s - loss: 0.4849 - acc: 0.7558
250/254 [============================>.] - ETA: 0s - loss: 0.4860 - acc: 0.7548
254/254 [==============================] - 1s 4ms/step - loss: 0.4844 - acc: 0.7552
254/254 [==============================] - 1s 5ms/step - loss: 0.4844 - acc: 0.7552 - val_loss: 0.4685 - val_acc: 0.7638
Epoch 9/30
1/254 [..............................] - ETA: 1s - loss: 0.3535 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.4352 - acc: 0.7882
36/254 [===>..........................] - ETA: 0s - loss: 0.4504 - acc: 0.7931
54/254 [=====>........................] - ETA: 0s - loss: 0.4743 - acc: 0.7769
71/254 [=======>......................] - ETA: 0s - loss: 0.4802 - acc: 0.7725
88/254 [=========>....................] - ETA: 0s - loss: 0.4771 - acc: 0.7727
107/254 [===========>..................] - ETA: 0s - loss: 0.4853 - acc: 0.7659
125/254 [=============>................] - ETA: 0s - loss: 0.4922 - acc: 0.7628
143/254 [===============>..............] - ETA: 0s - loss: 0.4868 - acc: 0.7622
161/254 [==================>...........] - ETA: 0s - loss: 0.4810 - acc: 0.7634
179/254 [====================>.........] - ETA: 0s - loss: 0.4809 - acc: 0.7615
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248/254 [============================>.] - ETA: 0s - loss: 0.4810 - acc: 0.7597
254/254 [==============================] - 1s 3ms/step - loss: 0.4823 - acc: 0.7597
254/254 [==============================] - 1s 4ms/step - loss: 0.4823 - acc: 0.7597 - val_loss: 0.4728 - val_acc: 0.7691
Epoch 10/30
1/254 [..............................] - ETA: 1s - loss: 0.6537 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.5494 - acc: 0.7500
38/254 [===>..........................] - ETA: 0s - loss: 0.4993 - acc: 0.7421
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92/254 [=========>....................] - ETA: 0s - loss: 0.4627 - acc: 0.7582
109/254 [===========>..................] - ETA: 0s - loss: 0.4674 - acc: 0.7619
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161/254 [==================>...........] - ETA: 0s - loss: 0.4641 - acc: 0.7686
169/254 [==================>...........] - ETA: 0s - loss: 0.4634 - acc: 0.7675
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204/254 [=======================>......] - ETA: 0s - loss: 0.4746 - acc: 0.7623
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231/254 [==========================>...] - ETA: 0s - loss: 0.4745 - acc: 0.7613
245/254 [===========================>..] - ETA: 0s - loss: 0.4815 - acc: 0.7584
254/254 [==============================] - 1s 4ms/step - loss: 0.4831 - acc: 0.7577
254/254 [==============================] - 1s 5ms/step - loss: 0.4831 - acc: 0.7577 - val_loss: 0.4967 - val_acc: 0.7389
Epoch 11/30
1/254 [..............................] - ETA: 1s - loss: 0.6368 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.5262 - acc: 0.7139
36/254 [===>..........................] - ETA: 0s - loss: 0.5168 - acc: 0.7319
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250/254 [============================>.] - ETA: 0s - loss: 0.4796 - acc: 0.7618
254/254 [==============================] - 1s 3ms/step - loss: 0.4808 - acc: 0.7601
254/254 [==============================] - 1s 4ms/step - loss: 0.4808 - acc: 0.7601 - val_loss: 0.4850 - val_acc: 0.7513
Epoch 12/30
1/254 [..............................] - ETA: 0s - loss: 0.2899 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4525 - acc: 0.7806
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239/254 [===========================>..] - ETA: 0s - loss: 0.4781 - acc: 0.7649
254/254 [==============================] - 1s 3ms/step - loss: 0.4802 - acc: 0.7629
254/254 [==============================] - 1s 5ms/step - loss: 0.4802 - acc: 0.7629 - val_loss: 0.4878 - val_acc: 0.7513
Epoch 13/30
1/254 [..............................] - ETA: 0s - loss: 0.4513 - acc: 0.9000
17/254 [=>............................] - ETA: 0s - loss: 0.4879 - acc: 0.7735
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104/254 [===========>..................] - ETA: 0s - loss: 0.4768 - acc: 0.7572
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136/254 [===============>..............] - ETA: 0s - loss: 0.4846 - acc: 0.7559
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238/254 [===========================>..] - ETA: 0s - loss: 0.4810 - acc: 0.7574
254/254 [==============================] - 1s 3ms/step - loss: 0.4765 - acc: 0.7577
254/254 [==============================] - 1s 4ms/step - loss: 0.4765 - acc: 0.7577 - val_loss: 0.4820 - val_acc: 0.7531
Epoch 14/30
1/254 [..............................] - ETA: 1s - loss: 0.6121 - acc: 0.6500
17/254 [=>............................] - ETA: 0s - loss: 0.4975 - acc: 0.7647
29/254 [==>...........................] - ETA: 0s - loss: 0.4843 - acc: 0.7672
40/254 [===>..........................] - ETA: 0s - loss: 0.4834 - acc: 0.7663
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76/254 [=======>......................] - ETA: 0s - loss: 0.4639 - acc: 0.7678
94/254 [==========>...................] - ETA: 0s - loss: 0.4658 - acc: 0.7713
113/254 [============>.................] - ETA: 0s - loss: 0.4667 - acc: 0.7752
128/254 [==============>...............] - ETA: 0s - loss: 0.4692 - acc: 0.7738
146/254 [================>.............] - ETA: 0s - loss: 0.4752 - acc: 0.7678
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180/254 [====================>.........] - ETA: 0s - loss: 0.4802 - acc: 0.7625
199/254 [======================>.......] - ETA: 0s - loss: 0.4814 - acc: 0.7613
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232/254 [==========================>...] - ETA: 0s - loss: 0.4803 - acc: 0.7619
250/254 [============================>.] - ETA: 0s - loss: 0.4784 - acc: 0.7620
254/254 [==============================] - 1s 3ms/step - loss: 0.4770 - acc: 0.7625
254/254 [==============================] - 1s 4ms/step - loss: 0.4770 - acc: 0.7625 - val_loss: 0.4848 - val_acc: 0.7460
Epoch 15/30
1/254 [..............................] - ETA: 0s - loss: 0.3552 - acc: 0.7500
9/254 [>.............................] - ETA: 1s - loss: 0.4498 - acc: 0.7389
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151/254 [================>.............] - ETA: 0s - loss: 0.4684 - acc: 0.7603
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254/254 [==============================] - 1s 3ms/step - loss: 0.4762 - acc: 0.7577
254/254 [==============================] - 1s 5ms/step - loss: 0.4762 - acc: 0.7577 - val_loss: 0.5085 - val_acc: 0.7371
Epoch 16/30
1/254 [..............................] - ETA: 0s - loss: 0.2933 - acc: 0.9500
17/254 [=>............................] - ETA: 0s - loss: 0.4462 - acc: 0.7647
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215/254 [========================>.....] - ETA: 0s - loss: 0.4801 - acc: 0.7616
233/254 [==========================>...] - ETA: 0s - loss: 0.4754 - acc: 0.7639
249/254 [============================>.] - ETA: 0s - loss: 0.4783 - acc: 0.7602
254/254 [==============================] - 1s 3ms/step - loss: 0.4746 - acc: 0.7625
254/254 [==============================] - 1s 4ms/step - loss: 0.4746 - acc: 0.7625 - val_loss: 0.4858 - val_acc: 0.7549
Epoch 17/30
1/254 [..............................] - ETA: 0s - loss: 0.5303 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.4664 - acc: 0.7763
38/254 [===>..........................] - ETA: 0s - loss: 0.4807 - acc: 0.7592
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90/254 [=========>....................] - ETA: 0s - loss: 0.4740 - acc: 0.7717
110/254 [===========>..................] - ETA: 0s - loss: 0.4845 - acc: 0.7645
128/254 [==============>...............] - ETA: 0s - loss: 0.4741 - acc: 0.7672
144/254 [================>.............] - ETA: 0s - loss: 0.4722 - acc: 0.7649
161/254 [==================>...........] - ETA: 0s - loss: 0.4731 - acc: 0.7646
179/254 [====================>.........] - ETA: 0s - loss: 0.4717 - acc: 0.7654
197/254 [======================>.......] - ETA: 0s - loss: 0.4692 - acc: 0.7647
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233/254 [==========================>...] - ETA: 0s - loss: 0.4736 - acc: 0.7624
251/254 [============================>.] - ETA: 0s - loss: 0.4723 - acc: 0.7614
254/254 [==============================] - 1s 3ms/step - loss: 0.4740 - acc: 0.7609
254/254 [==============================] - 1s 4ms/step - loss: 0.4740 - acc: 0.7609 - val_loss: 0.4881 - val_acc: 0.7478
Epoch 18/30
1/254 [..............................] - ETA: 1s - loss: 0.5053 - acc: 0.8000
13/254 [>.............................] - ETA: 1s - loss: 0.4784 - acc: 0.7500
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141/254 [===============>..............] - ETA: 0s - loss: 0.4651 - acc: 0.7617
159/254 [=================>............] - ETA: 0s - loss: 0.4660 - acc: 0.7610
175/254 [===================>..........] - ETA: 0s - loss: 0.4710 - acc: 0.7554
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238/254 [===========================>..] - ETA: 0s - loss: 0.4756 - acc: 0.7546
254/254 [==============================] - 1s 3ms/step - loss: 0.4750 - acc: 0.7554
254/254 [==============================] - 1s 5ms/step - loss: 0.4750 - acc: 0.7554 - val_loss: 0.4937 - val_acc: 0.7442
Run completed: runs/2024-05-06T19-47-50Z
Training run 43/52 (flags = list(16, 32, 0.01, 20, 50, "tanh", "sigmoid", 0.2, 0.5))
Using run directory runs/2024-05-06T19-48-13Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:02 - loss: 0.7972 - acc: 0.7000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0322s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0322s). Check your callbacks.
18/254 [=>............................] - ETA: 0s - loss: 0.7775 - acc: 0.6306
35/254 [===>..........................] - ETA: 0s - loss: 0.7389 - acc: 0.6071
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220/254 [========================>.....] - ETA: 0s - loss: 0.6230 - acc: 0.6639
236/254 [==========================>...] - ETA: 0s - loss: 0.6204 - acc: 0.6680
254/254 [==============================] - 2s 3ms/step - loss: 0.6141 - acc: 0.6710
254/254 [==============================] - 3s 7ms/step - loss: 0.6141 - acc: 0.6710 - val_loss: 0.5376 - val_acc: 0.7318
Epoch 2/50
1/254 [..............................] - ETA: 0s - loss: 0.7543 - acc: 0.7500
16/254 [>.............................] - ETA: 0s - loss: 0.5630 - acc: 0.7375
31/254 [==>...........................] - ETA: 0s - loss: 0.5495 - acc: 0.7419
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70/254 [=======>......................] - ETA: 0s - loss: 0.5370 - acc: 0.7293
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97/254 [==========>...................] - ETA: 0s - loss: 0.5401 - acc: 0.7273
115/254 [============>.................] - ETA: 0s - loss: 0.5400 - acc: 0.7239
128/254 [==============>...............] - ETA: 0s - loss: 0.5438 - acc: 0.7219
144/254 [================>.............] - ETA: 0s - loss: 0.5465 - acc: 0.7205
161/254 [==================>...........] - ETA: 0s - loss: 0.5518 - acc: 0.7196
179/254 [====================>.........] - ETA: 0s - loss: 0.5460 - acc: 0.7201
196/254 [======================>.......] - ETA: 0s - loss: 0.5476 - acc: 0.7176
213/254 [========================>.....] - ETA: 0s - loss: 0.5453 - acc: 0.7192
233/254 [==========================>...] - ETA: 0s - loss: 0.5418 - acc: 0.7206
252/254 [============================>.] - ETA: 0s - loss: 0.5388 - acc: 0.7230
254/254 [==============================] - 1s 3ms/step - loss: 0.5380 - acc: 0.7234
254/254 [==============================] - 1s 4ms/step - loss: 0.5380 - acc: 0.7234 - val_loss: 0.4954 - val_acc: 0.7655
Epoch 3/50
1/254 [..............................] - ETA: 0s - loss: 0.4589 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.5344 - acc: 0.7211
38/254 [===>..........................] - ETA: 0s - loss: 0.5309 - acc: 0.7316
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97/254 [==========>...................] - ETA: 0s - loss: 0.5034 - acc: 0.7582
104/254 [===========>..................] - ETA: 0s - loss: 0.5186 - acc: 0.7500
122/254 [=============>................] - ETA: 0s - loss: 0.5127 - acc: 0.7504
135/254 [==============>...............] - ETA: 0s - loss: 0.5146 - acc: 0.7493
152/254 [================>.............] - ETA: 0s - loss: 0.5181 - acc: 0.7451
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253/254 [============================>.] - ETA: 0s - loss: 0.5157 - acc: 0.7447
254/254 [==============================] - 1s 3ms/step - loss: 0.5161 - acc: 0.7445
254/254 [==============================] - 1s 4ms/step - loss: 0.5161 - acc: 0.7445 - val_loss: 0.5144 - val_acc: 0.7460
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.4967 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4650 - acc: 0.7447
38/254 [===>..........................] - ETA: 0s - loss: 0.5085 - acc: 0.7224
45/254 [====>.........................] - ETA: 0s - loss: 0.4987 - acc: 0.7322
53/254 [=====>........................] - ETA: 0s - loss: 0.4943 - acc: 0.7396
71/254 [=======>......................] - ETA: 0s - loss: 0.4891 - acc: 0.7535
90/254 [=========>....................] - ETA: 0s - loss: 0.4930 - acc: 0.7478
103/254 [===========>..................] - ETA: 0s - loss: 0.5079 - acc: 0.7403
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129/254 [==============>...............] - ETA: 0s - loss: 0.5068 - acc: 0.7419
145/254 [================>.............] - ETA: 0s - loss: 0.5134 - acc: 0.7379
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182/254 [====================>.........] - ETA: 0s - loss: 0.5170 - acc: 0.7376
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233/254 [==========================>...] - ETA: 0s - loss: 0.5143 - acc: 0.7369
251/254 [============================>.] - ETA: 0s - loss: 0.5181 - acc: 0.7355
254/254 [==============================] - 1s 4ms/step - loss: 0.5174 - acc: 0.7357
254/254 [==============================] - 1s 5ms/step - loss: 0.5174 - acc: 0.7357 - val_loss: 0.4941 - val_acc: 0.7531
Epoch 5/50
1/254 [..............................] - ETA: 1s - loss: 0.5184 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.5158 - acc: 0.7265
36/254 [===>..........................] - ETA: 0s - loss: 0.4924 - acc: 0.7528
40/254 [===>..........................] - ETA: 0s - loss: 0.5037 - acc: 0.7350
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110/254 [===========>..................] - ETA: 0s - loss: 0.5403 - acc: 0.7159
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142/254 [===============>..............] - ETA: 0s - loss: 0.5383 - acc: 0.7187
159/254 [=================>............] - ETA: 0s - loss: 0.5382 - acc: 0.7157
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196/254 [======================>.......] - ETA: 0s - loss: 0.5300 - acc: 0.7181
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250/254 [============================>.] - ETA: 0s - loss: 0.5126 - acc: 0.7340
254/254 [==============================] - 1s 3ms/step - loss: 0.5131 - acc: 0.7333
254/254 [==============================] - 1s 4ms/step - loss: 0.5131 - acc: 0.7333 - val_loss: 0.4819 - val_acc: 0.7567
Epoch 6/50
1/254 [..............................] - ETA: 4s - loss: 0.7410 - acc: 0.6000
18/254 [=>............................] - ETA: 0s - loss: 0.5059 - acc: 0.7417
35/254 [===>..........................] - ETA: 0s - loss: 0.4831 - acc: 0.7457
51/254 [=====>........................] - ETA: 0s - loss: 0.4741 - acc: 0.7529
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84/254 [========>.....................] - ETA: 0s - loss: 0.5025 - acc: 0.7435
103/254 [===========>..................] - ETA: 0s - loss: 0.5091 - acc: 0.7379
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140/254 [===============>..............] - ETA: 0s - loss: 0.5057 - acc: 0.7418
158/254 [=================>............] - ETA: 0s - loss: 0.5033 - acc: 0.7456
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253/254 [============================>.] - ETA: 0s - loss: 0.5042 - acc: 0.7389
254/254 [==============================] - 1s 3ms/step - loss: 0.5037 - acc: 0.7394
254/254 [==============================] - 1s 4ms/step - loss: 0.5037 - acc: 0.7394 - val_loss: 0.4867 - val_acc: 0.7567
Epoch 7/50
1/254 [..............................] - ETA: 0s - loss: 0.5671 - acc: 0.7500
14/254 [>.............................] - ETA: 1s - loss: 0.5657 - acc: 0.6964
32/254 [==>...........................] - ETA: 1s - loss: 0.5452 - acc: 0.7281
40/254 [===>..........................] - ETA: 1s - loss: 0.5497 - acc: 0.7262
58/254 [=====>........................] - ETA: 0s - loss: 0.5348 - acc: 0.7336
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148/254 [================>.............] - ETA: 0s - loss: 0.5096 - acc: 0.7372
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220/254 [========================>.....] - ETA: 0s - loss: 0.5044 - acc: 0.7452
240/254 [===========================>..] - ETA: 0s - loss: 0.5031 - acc: 0.7479
254/254 [==============================] - 1s 4ms/step - loss: 0.5049 - acc: 0.7477
254/254 [==============================] - 1s 5ms/step - loss: 0.5049 - acc: 0.7477 - val_loss: 0.5022 - val_acc: 0.7442
Epoch 8/50
1/254 [..............................] - ETA: 1s - loss: 0.3591 - acc: 0.9000
19/254 [=>............................] - ETA: 0s - loss: 0.4407 - acc: 0.7763
38/254 [===>..........................] - ETA: 0s - loss: 0.4764 - acc: 0.7684
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112/254 [============>.................] - ETA: 0s - loss: 0.4898 - acc: 0.7612
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254/254 [==============================] - 1s 3ms/step - loss: 0.5028 - acc: 0.7469
254/254 [==============================] - 1s 4ms/step - loss: 0.5028 - acc: 0.7469 - val_loss: 0.4750 - val_acc: 0.7655
Epoch 9/50
1/254 [..............................] - ETA: 0s - loss: 0.5410 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5049 - acc: 0.7222
35/254 [===>..........................] - ETA: 0s - loss: 0.4900 - acc: 0.7486
54/254 [=====>........................] - ETA: 0s - loss: 0.5041 - acc: 0.7454
72/254 [=======>......................] - ETA: 0s - loss: 0.5147 - acc: 0.7396
86/254 [=========>....................] - ETA: 0s - loss: 0.5096 - acc: 0.7384
105/254 [===========>..................] - ETA: 0s - loss: 0.4977 - acc: 0.7471
124/254 [=============>................] - ETA: 0s - loss: 0.4948 - acc: 0.7464
140/254 [===============>..............] - ETA: 0s - loss: 0.4910 - acc: 0.7486
157/254 [=================>............] - ETA: 0s - loss: 0.4945 - acc: 0.7449
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214/254 [========================>.....] - ETA: 0s - loss: 0.4960 - acc: 0.7414
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239/254 [===========================>..] - ETA: 0s - loss: 0.4941 - acc: 0.7441
254/254 [==============================] - 1s 3ms/step - loss: 0.4949 - acc: 0.7463
254/254 [==============================] - 1s 5ms/step - loss: 0.4949 - acc: 0.7463 - val_loss: 0.4889 - val_acc: 0.7531
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.7277 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.5079 - acc: 0.7289
38/254 [===>..........................] - ETA: 0s - loss: 0.5066 - acc: 0.7421
57/254 [=====>........................] - ETA: 0s - loss: 0.4955 - acc: 0.7360
72/254 [=======>......................] - ETA: 0s - loss: 0.4934 - acc: 0.7382
90/254 [=========>....................] - ETA: 0s - loss: 0.5028 - acc: 0.7356
110/254 [===========>..................] - ETA: 0s - loss: 0.4983 - acc: 0.7409
129/254 [==============>...............] - ETA: 0s - loss: 0.4969 - acc: 0.7422
149/254 [================>.............] - ETA: 0s - loss: 0.5064 - acc: 0.7399
167/254 [==================>...........] - ETA: 0s - loss: 0.5078 - acc: 0.7392
182/254 [====================>.........] - ETA: 0s - loss: 0.5096 - acc: 0.7382
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206/254 [=======================>......] - ETA: 0s - loss: 0.5021 - acc: 0.7417
218/254 [========================>.....] - ETA: 0s - loss: 0.5004 - acc: 0.7445
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253/254 [============================>.] - ETA: 0s - loss: 0.4980 - acc: 0.7482
254/254 [==============================] - 1s 3ms/step - loss: 0.4982 - acc: 0.7483
254/254 [==============================] - 1s 4ms/step - loss: 0.4982 - acc: 0.7483 - val_loss: 0.4807 - val_acc: 0.7602
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.7272 - acc: 0.6000
19/254 [=>............................] - ETA: 0s - loss: 0.5140 - acc: 0.7289
39/254 [===>..........................] - ETA: 0s - loss: 0.5047 - acc: 0.7487
57/254 [=====>........................] - ETA: 0s - loss: 0.5021 - acc: 0.7500
75/254 [=======>......................] - ETA: 0s - loss: 0.4960 - acc: 0.7487
95/254 [==========>...................] - ETA: 0s - loss: 0.5004 - acc: 0.7458
114/254 [============>.................] - ETA: 0s - loss: 0.4955 - acc: 0.7465
133/254 [==============>...............] - ETA: 0s - loss: 0.4906 - acc: 0.7500
150/254 [================>.............] - ETA: 0s - loss: 0.4861 - acc: 0.7530
167/254 [==================>...........] - ETA: 0s - loss: 0.4840 - acc: 0.7560
184/254 [====================>.........] - ETA: 0s - loss: 0.4812 - acc: 0.7554
201/254 [======================>.......] - ETA: 0s - loss: 0.4836 - acc: 0.7532
219/254 [========================>.....] - ETA: 0s - loss: 0.4886 - acc: 0.7534
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254/254 [==============================] - 1s 3ms/step - loss: 0.4916 - acc: 0.7510
254/254 [==============================] - 1s 4ms/step - loss: 0.4916 - acc: 0.7510 - val_loss: 0.4946 - val_acc: 0.7549
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.4546 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4899 - acc: 0.7333
38/254 [===>..........................] - ETA: 0s - loss: 0.5007 - acc: 0.7513
48/254 [====>.........................] - ETA: 0s - loss: 0.5119 - acc: 0.7573
67/254 [======>.......................] - ETA: 0s - loss: 0.5090 - acc: 0.7582
78/254 [========>.....................] - ETA: 0s - loss: 0.5052 - acc: 0.7571
97/254 [==========>...................] - ETA: 0s - loss: 0.5037 - acc: 0.7515
117/254 [============>.................] - ETA: 0s - loss: 0.4933 - acc: 0.7547
133/254 [==============>...............] - ETA: 0s - loss: 0.4898 - acc: 0.7598
152/254 [================>.............] - ETA: 0s - loss: 0.4895 - acc: 0.7576
169/254 [==================>...........] - ETA: 0s - loss: 0.4901 - acc: 0.7583
176/254 [===================>..........] - ETA: 0s - loss: 0.4894 - acc: 0.7602
183/254 [====================>.........] - ETA: 0s - loss: 0.4888 - acc: 0.7612
199/254 [======================>.......] - ETA: 0s - loss: 0.4927 - acc: 0.7601
217/254 [========================>.....] - ETA: 0s - loss: 0.4920 - acc: 0.7569
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247/254 [============================>.] - ETA: 0s - loss: 0.4951 - acc: 0.7545
254/254 [==============================] - 1s 3ms/step - loss: 0.4951 - acc: 0.7546
254/254 [==============================] - 1s 5ms/step - loss: 0.4951 - acc: 0.7546 - val_loss: 0.4746 - val_acc: 0.7655
Epoch 13/50
1/254 [..............................] - ETA: 0s - loss: 0.4145 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.5116 - acc: 0.7342
38/254 [===>..........................] - ETA: 0s - loss: 0.5153 - acc: 0.7368
57/254 [=====>........................] - ETA: 0s - loss: 0.5205 - acc: 0.7289
74/254 [=======>......................] - ETA: 0s - loss: 0.5064 - acc: 0.7412
90/254 [=========>....................] - ETA: 0s - loss: 0.5066 - acc: 0.7428
109/254 [===========>..................] - ETA: 0s - loss: 0.4961 - acc: 0.7477
125/254 [=============>................] - ETA: 0s - loss: 0.4886 - acc: 0.7528
137/254 [===============>..............] - ETA: 0s - loss: 0.4874 - acc: 0.7562
150/254 [================>.............] - ETA: 0s - loss: 0.4847 - acc: 0.7590
160/254 [=================>............] - ETA: 0s - loss: 0.4887 - acc: 0.7569
176/254 [===================>..........] - ETA: 0s - loss: 0.4900 - acc: 0.7514
191/254 [=====================>........] - ETA: 0s - loss: 0.4891 - acc: 0.7500
206/254 [=======================>......] - ETA: 0s - loss: 0.4925 - acc: 0.7481
225/254 [=========================>....] - ETA: 0s - loss: 0.4884 - acc: 0.7502
244/254 [===========================>..] - ETA: 0s - loss: 0.4904 - acc: 0.7506
254/254 [==============================] - 1s 3ms/step - loss: 0.4903 - acc: 0.7506
254/254 [==============================] - 1s 4ms/step - loss: 0.4903 - acc: 0.7506 - val_loss: 0.4836 - val_acc: 0.7531
Epoch 14/50
1/254 [..............................] - ETA: 0s - loss: 0.2946 - acc: 0.8500
20/254 [=>............................] - ETA: 0s - loss: 0.4885 - acc: 0.7450
40/254 [===>..........................] - ETA: 0s - loss: 0.4950 - acc: 0.7362
60/254 [======>.......................] - ETA: 0s - loss: 0.4859 - acc: 0.7575
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95/254 [==========>...................] - ETA: 0s - loss: 0.4868 - acc: 0.7584
113/254 [============>.................] - ETA: 0s - loss: 0.4927 - acc: 0.7558
128/254 [==============>...............] - ETA: 0s - loss: 0.4931 - acc: 0.7527
145/254 [================>.............] - ETA: 0s - loss: 0.4957 - acc: 0.7503
155/254 [=================>............] - ETA: 0s - loss: 0.4900 - acc: 0.7532
173/254 [===================>..........] - ETA: 0s - loss: 0.4913 - acc: 0.7509
189/254 [=====================>........] - ETA: 0s - loss: 0.4910 - acc: 0.7500
205/254 [=======================>......] - ETA: 0s - loss: 0.4936 - acc: 0.7507
224/254 [=========================>....] - ETA: 0s - loss: 0.4926 - acc: 0.7513
242/254 [===========================>..] - ETA: 0s - loss: 0.4908 - acc: 0.7517
254/254 [==============================] - 1s 3ms/step - loss: 0.4910 - acc: 0.7524
254/254 [==============================] - 1s 5ms/step - loss: 0.4910 - acc: 0.7524 - val_loss: 0.4791 - val_acc: 0.7602
Epoch 15/50
1/254 [..............................] - ETA: 1s - loss: 0.5887 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.4515 - acc: 0.7824
36/254 [===>..........................] - ETA: 0s - loss: 0.4692 - acc: 0.7764
53/254 [=====>........................] - ETA: 0s - loss: 0.4624 - acc: 0.7698
60/254 [======>.......................] - ETA: 0s - loss: 0.4610 - acc: 0.7725
79/254 [========>.....................] - ETA: 0s - loss: 0.4696 - acc: 0.7734
92/254 [=========>....................] - ETA: 0s - loss: 0.4724 - acc: 0.7696
107/254 [===========>..................] - ETA: 0s - loss: 0.4769 - acc: 0.7645
126/254 [=============>................] - ETA: 0s - loss: 0.4812 - acc: 0.7627
145/254 [================>.............] - ETA: 0s - loss: 0.4827 - acc: 0.7572
162/254 [==================>...........] - ETA: 0s - loss: 0.4892 - acc: 0.7562
180/254 [====================>.........] - ETA: 0s - loss: 0.4908 - acc: 0.7531
199/254 [======================>.......] - ETA: 0s - loss: 0.4904 - acc: 0.7510
218/254 [========================>.....] - ETA: 0s - loss: 0.4913 - acc: 0.7500
237/254 [==========================>...] - ETA: 0s - loss: 0.4888 - acc: 0.7513
254/254 [==============================] - 1s 3ms/step - loss: 0.4869 - acc: 0.7524
254/254 [==============================] - 1s 4ms/step - loss: 0.4869 - acc: 0.7524 - val_loss: 0.4710 - val_acc: 0.7673
Epoch 16/50
1/254 [..............................] - ETA: 0s - loss: 0.4557 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4626 - acc: 0.7684
38/254 [===>..........................] - ETA: 0s - loss: 0.4926 - acc: 0.7632
56/254 [=====>........................] - ETA: 0s - loss: 0.4970 - acc: 0.7563
74/254 [=======>......................] - ETA: 0s - loss: 0.5016 - acc: 0.7473
92/254 [=========>....................] - ETA: 0s - loss: 0.5068 - acc: 0.7467
111/254 [============>.................] - ETA: 0s - loss: 0.5038 - acc: 0.7374
130/254 [==============>...............] - ETA: 0s - loss: 0.4992 - acc: 0.7419
149/254 [================>.............] - ETA: 0s - loss: 0.5025 - acc: 0.7413
167/254 [==================>...........] - ETA: 0s - loss: 0.5007 - acc: 0.7434
181/254 [====================>.........] - ETA: 0s - loss: 0.4995 - acc: 0.7434
195/254 [======================>.......] - ETA: 0s - loss: 0.5027 - acc: 0.7408
214/254 [========================>.....] - ETA: 0s - loss: 0.4988 - acc: 0.7402
232/254 [==========================>...] - ETA: 0s - loss: 0.4950 - acc: 0.7418
251/254 [============================>.] - ETA: 0s - loss: 0.4935 - acc: 0.7448
254/254 [==============================] - 1s 3ms/step - loss: 0.4944 - acc: 0.7441
254/254 [==============================] - 1s 4ms/step - loss: 0.4944 - acc: 0.7441 - val_loss: 0.4750 - val_acc: 0.7691
Epoch 17/50
1/254 [..............................] - ETA: 0s - loss: 0.3158 - acc: 0.9000
19/254 [=>............................] - ETA: 0s - loss: 0.4899 - acc: 0.7632
37/254 [===>..........................] - ETA: 0s - loss: 0.4863 - acc: 0.7595
45/254 [====>.........................] - ETA: 0s - loss: 0.5024 - acc: 0.7378
60/254 [======>.......................] - ETA: 0s - loss: 0.4920 - acc: 0.7458
76/254 [=======>......................] - ETA: 0s - loss: 0.4916 - acc: 0.7507
88/254 [=========>....................] - ETA: 0s - loss: 0.4874 - acc: 0.7500
107/254 [===========>..................] - ETA: 0s - loss: 0.4933 - acc: 0.7449
123/254 [=============>................] - ETA: 0s - loss: 0.4878 - acc: 0.7472
139/254 [===============>..............] - ETA: 0s - loss: 0.4915 - acc: 0.7457
157/254 [=================>............] - ETA: 0s - loss: 0.4882 - acc: 0.7443
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194/254 [=====================>........] - ETA: 0s - loss: 0.4912 - acc: 0.7441
212/254 [========================>.....] - ETA: 0s - loss: 0.4900 - acc: 0.7476
219/254 [========================>.....] - ETA: 0s - loss: 0.4895 - acc: 0.7479
238/254 [===========================>..] - ETA: 0s - loss: 0.4859 - acc: 0.7504
254/254 [==============================] - 1s 3ms/step - loss: 0.4874 - acc: 0.7508
254/254 [==============================] - 1s 5ms/step - loss: 0.4874 - acc: 0.7508 - val_loss: 0.4774 - val_acc: 0.7638
Epoch 18/50
1/254 [..............................] - ETA: 1s - loss: 0.5692 - acc: 0.7000
9/254 [>.............................] - ETA: 1s - loss: 0.4884 - acc: 0.7611
28/254 [==>...........................] - ETA: 1s - loss: 0.5092 - acc: 0.7696
46/254 [====>.........................] - ETA: 0s - loss: 0.5096 - acc: 0.7630
63/254 [======>.......................] - ETA: 0s - loss: 0.4980 - acc: 0.7540
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98/254 [==========>...................] - ETA: 0s - loss: 0.4962 - acc: 0.7587
116/254 [============>.................] - ETA: 0s - loss: 0.4965 - acc: 0.7526
136/254 [===============>..............] - ETA: 0s - loss: 0.4947 - acc: 0.7529
155/254 [=================>............] - ETA: 0s - loss: 0.4967 - acc: 0.7510
173/254 [===================>..........] - ETA: 0s - loss: 0.4929 - acc: 0.7494
191/254 [=====================>........] - ETA: 0s - loss: 0.4922 - acc: 0.7490
210/254 [=======================>......] - ETA: 0s - loss: 0.4943 - acc: 0.7519
226/254 [=========================>....] - ETA: 0s - loss: 0.4884 - acc: 0.7558
243/254 [===========================>..] - ETA: 0s - loss: 0.4905 - acc: 0.7560
254/254 [==============================] - 1s 3ms/step - loss: 0.4908 - acc: 0.7569
254/254 [==============================] - 1s 4ms/step - loss: 0.4908 - acc: 0.7569 - val_loss: 0.4827 - val_acc: 0.7549
Epoch 19/50
1/254 [..............................] - ETA: 1s - loss: 0.3088 - acc: 0.8500
19/254 [=>............................] - ETA: 0s - loss: 0.4433 - acc: 0.7737
38/254 [===>..........................] - ETA: 0s - loss: 0.4558 - acc: 0.7592
53/254 [=====>........................] - ETA: 0s - loss: 0.4758 - acc: 0.7509
70/254 [=======>......................] - ETA: 0s - loss: 0.4719 - acc: 0.7529
88/254 [=========>....................] - ETA: 0s - loss: 0.4778 - acc: 0.7551
106/254 [===========>..................] - ETA: 0s - loss: 0.4930 - acc: 0.7514
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143/254 [===============>..............] - ETA: 0s - loss: 0.4889 - acc: 0.7483
162/254 [==================>...........] - ETA: 0s - loss: 0.4895 - acc: 0.7506
180/254 [====================>.........] - ETA: 0s - loss: 0.4832 - acc: 0.7556
199/254 [======================>.......] - ETA: 0s - loss: 0.4794 - acc: 0.7593
217/254 [========================>.....] - ETA: 0s - loss: 0.4825 - acc: 0.7588
232/254 [==========================>...] - ETA: 0s - loss: 0.4835 - acc: 0.7588
249/254 [============================>.] - ETA: 0s - loss: 0.4895 - acc: 0.7600
254/254 [==============================] - 1s 3ms/step - loss: 0.4923 - acc: 0.7591
254/254 [==============================] - 1s 4ms/step - loss: 0.4923 - acc: 0.7591 - val_loss: 0.5042 - val_acc: 0.7513
Epoch 20/50
1/254 [..............................] - ETA: 0s - loss: 0.4483 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.4529 - acc: 0.7447
37/254 [===>..........................] - ETA: 0s - loss: 0.4502 - acc: 0.7446
55/254 [=====>........................] - ETA: 0s - loss: 0.4572 - acc: 0.7509
74/254 [=======>......................] - ETA: 0s - loss: 0.4590 - acc: 0.7581
79/254 [========>.....................] - ETA: 0s - loss: 0.4578 - acc: 0.7601
95/254 [==========>...................] - ETA: 0s - loss: 0.4694 - acc: 0.7553
113/254 [============>.................] - ETA: 0s - loss: 0.4684 - acc: 0.7588
132/254 [==============>...............] - ETA: 0s - loss: 0.4779 - acc: 0.7580
151/254 [================>.............] - ETA: 0s - loss: 0.4856 - acc: 0.7523
168/254 [==================>...........] - ETA: 0s - loss: 0.4844 - acc: 0.7515
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202/254 [======================>.......] - ETA: 0s - loss: 0.4913 - acc: 0.7485
219/254 [========================>.....] - ETA: 0s - loss: 0.4891 - acc: 0.7500
237/254 [==========================>...] - ETA: 0s - loss: 0.4899 - acc: 0.7504
252/254 [============================>.] - ETA: 0s - loss: 0.4899 - acc: 0.7494
254/254 [==============================] - 1s 3ms/step - loss: 0.4918 - acc: 0.7483
254/254 [==============================] - 1s 4ms/step - loss: 0.4918 - acc: 0.7483 - val_loss: 0.4894 - val_acc: 0.7584
Epoch 21/50
1/254 [..............................] - ETA: 0s - loss: 0.3754 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.5345 - acc: 0.7361
29/254 [==>...........................] - ETA: 0s - loss: 0.4867 - acc: 0.7603
43/254 [====>.........................] - ETA: 0s - loss: 0.4940 - acc: 0.7547
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68/254 [=======>......................] - ETA: 0s - loss: 0.4929 - acc: 0.7529
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105/254 [===========>..................] - ETA: 0s - loss: 0.4840 - acc: 0.7576
124/254 [=============>................] - ETA: 0s - loss: 0.4770 - acc: 0.7585
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158/254 [=================>............] - ETA: 0s - loss: 0.4812 - acc: 0.7570
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213/254 [========================>.....] - ETA: 0s - loss: 0.4902 - acc: 0.7533
231/254 [==========================>...] - ETA: 0s - loss: 0.4933 - acc: 0.7502
249/254 [============================>.] - ETA: 0s - loss: 0.4888 - acc: 0.7518
254/254 [==============================] - 1s 3ms/step - loss: 0.4877 - acc: 0.7524
254/254 [==============================] - 1s 4ms/step - loss: 0.4877 - acc: 0.7524 - val_loss: 0.4857 - val_acc: 0.7531
Epoch 22/50
1/254 [..............................] - ETA: 0s - loss: 0.3412 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4658 - acc: 0.8056
37/254 [===>..........................] - ETA: 0s - loss: 0.4667 - acc: 0.7716
56/254 [=====>........................] - ETA: 0s - loss: 0.4622 - acc: 0.7714
74/254 [=======>......................] - ETA: 0s - loss: 0.4765 - acc: 0.7622
92/254 [=========>....................] - ETA: 0s - loss: 0.4759 - acc: 0.7609
110/254 [===========>..................] - ETA: 0s - loss: 0.4865 - acc: 0.7514
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185/254 [====================>.........] - ETA: 0s - loss: 0.4911 - acc: 0.7476
205/254 [=======================>......] - ETA: 0s - loss: 0.4870 - acc: 0.7507
224/254 [=========================>....] - ETA: 0s - loss: 0.4896 - acc: 0.7487
241/254 [===========================>..] - ETA: 0s - loss: 0.4878 - acc: 0.7512
251/254 [============================>.] - ETA: 0s - loss: 0.4871 - acc: 0.7520
254/254 [==============================] - 1s 3ms/step - loss: 0.4879 - acc: 0.7514
254/254 [==============================] - 1s 4ms/step - loss: 0.4879 - acc: 0.7514 - val_loss: 0.4767 - val_acc: 0.7638
Epoch 23/50
1/254 [..............................] - ETA: 0s - loss: 0.4912 - acc: 0.7000
19/254 [=>............................] - ETA: 0s - loss: 0.5289 - acc: 0.7447
37/254 [===>..........................] - ETA: 0s - loss: 0.5082 - acc: 0.7514
57/254 [=====>........................] - ETA: 0s - loss: 0.5100 - acc: 0.7500
74/254 [=======>......................] - ETA: 0s - loss: 0.5030 - acc: 0.7500
90/254 [=========>....................] - ETA: 0s - loss: 0.5059 - acc: 0.7467
109/254 [===========>..................] - ETA: 0s - loss: 0.4989 - acc: 0.7417
128/254 [==============>...............] - ETA: 0s - loss: 0.5039 - acc: 0.7410
146/254 [================>.............] - ETA: 0s - loss: 0.4946 - acc: 0.7479
164/254 [==================>...........] - ETA: 0s - loss: 0.4910 - acc: 0.7491
181/254 [====================>.........] - ETA: 0s - loss: 0.4963 - acc: 0.7459
187/254 [=====================>........] - ETA: 0s - loss: 0.4943 - acc: 0.7471
203/254 [======================>.......] - ETA: 0s - loss: 0.4924 - acc: 0.7490
217/254 [========================>.....] - ETA: 0s - loss: 0.4922 - acc: 0.7479
224/254 [=========================>....] - ETA: 0s - loss: 0.4908 - acc: 0.7493
242/254 [===========================>..] - ETA: 0s - loss: 0.4878 - acc: 0.7521
254/254 [==============================] - 1s 3ms/step - loss: 0.4872 - acc: 0.7520
254/254 [==============================] - 1s 4ms/step - loss: 0.4872 - acc: 0.7520 - val_loss: 0.4862 - val_acc: 0.7584
Epoch 24/50
1/254 [..............................] - ETA: 0s - loss: 0.4941 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.4546 - acc: 0.7632
38/254 [===>..........................] - ETA: 0s - loss: 0.4468 - acc: 0.7776
57/254 [=====>........................] - ETA: 0s - loss: 0.4582 - acc: 0.7623
74/254 [=======>......................] - ETA: 0s - loss: 0.4686 - acc: 0.7568
92/254 [=========>....................] - ETA: 0s - loss: 0.4676 - acc: 0.7658
111/254 [============>.................] - ETA: 0s - loss: 0.4683 - acc: 0.7559
130/254 [==============>...............] - ETA: 0s - loss: 0.4798 - acc: 0.7523
149/254 [================>.............] - ETA: 0s - loss: 0.4813 - acc: 0.7513
164/254 [==================>...........] - ETA: 0s - loss: 0.4805 - acc: 0.7537
182/254 [====================>.........] - ETA: 0s - loss: 0.4786 - acc: 0.7541
200/254 [======================>.......] - ETA: 0s - loss: 0.4765 - acc: 0.7602
210/254 [=======================>......] - ETA: 0s - loss: 0.4776 - acc: 0.7610
228/254 [=========================>....] - ETA: 0s - loss: 0.4819 - acc: 0.7592
240/254 [===========================>..] - ETA: 0s - loss: 0.4845 - acc: 0.7571
254/254 [==============================] - 1s 3ms/step - loss: 0.4859 - acc: 0.7571
254/254 [==============================] - 1s 4ms/step - loss: 0.4859 - acc: 0.7571 - val_loss: 0.4737 - val_acc: 0.7691
Epoch 25/50
1/254 [..............................] - ETA: 0s - loss: 0.5559 - acc: 0.6500
19/254 [=>............................] - ETA: 0s - loss: 0.4420 - acc: 0.7737
39/254 [===>..........................] - ETA: 0s - loss: 0.4815 - acc: 0.7615
58/254 [=====>........................] - ETA: 0s - loss: 0.4788 - acc: 0.7672
77/254 [========>.....................] - ETA: 0s - loss: 0.5049 - acc: 0.7617
96/254 [==========>...................] - ETA: 0s - loss: 0.4980 - acc: 0.7604
103/254 [===========>..................] - ETA: 0s - loss: 0.4929 - acc: 0.7631
105/254 [===========>..................] - ETA: 0s - loss: 0.4912 - acc: 0.7648
121/254 [=============>................] - ETA: 0s - loss: 0.4916 - acc: 0.7591
135/254 [==============>...............] - ETA: 0s - loss: 0.4887 - acc: 0.7589
154/254 [=================>............] - ETA: 0s - loss: 0.4856 - acc: 0.7601
173/254 [===================>..........] - ETA: 0s - loss: 0.4861 - acc: 0.7604
190/254 [=====================>........] - ETA: 0s - loss: 0.4889 - acc: 0.7582
206/254 [=======================>......] - ETA: 0s - loss: 0.4846 - acc: 0.7604
221/254 [=========================>....] - ETA: 0s - loss: 0.4856 - acc: 0.7604
238/254 [===========================>..] - ETA: 0s - loss: 0.4889 - acc: 0.7578
250/254 [============================>.] - ETA: 0s - loss: 0.4872 - acc: 0.7570
254/254 [==============================] - 1s 3ms/step - loss: 0.4868 - acc: 0.7568
254/254 [==============================] - 1s 5ms/step - loss: 0.4868 - acc: 0.7568 - val_loss: 0.4917 - val_acc: 0.7513
Run completed: runs/2024-05-06T19-48-13Z
Training run 44/52 (flags = list(16, 32, 0.01, 50, 30, "sigmoid", "tanh", 0.2, 0.2))
Using run directory runs/2024-05-06T19-48-42Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:02 - loss: 0.6856 - acc: 0.7000
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0293s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0293s). Check your callbacks.
20/102 [====>.........................] - ETA: 0s - loss: 0.7065 - acc: 0.5860
37/102 [=========>....................] - ETA: 0s - loss: 0.6955 - acc: 0.5703
54/102 [==============>...............] - ETA: 0s - loss: 0.6727 - acc: 0.5970
71/102 [===================>..........] - ETA: 0s - loss: 0.6675 - acc: 0.6144
88/102 [========================>.....] - ETA: 0s - loss: 0.6557 - acc: 0.6225
96/102 [===========================>..] - ETA: 0s - loss: 0.6520 - acc: 0.6258
102/102 [==============================] - 2s 3ms/step - loss: 0.6514 - acc: 0.6278
102/102 [==============================] - 2s 12ms/step - loss: 0.6514 - acc: 0.6278 - val_loss: 0.5701 - val_acc: 0.7176
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.5580 - acc: 0.6200
18/102 [====>.........................] - ETA: 0s - loss: 0.5611 - acc: 0.6700
30/102 [=======>......................] - ETA: 0s - loss: 0.5595 - acc: 0.6880
48/102 [=============>................] - ETA: 0s - loss: 0.5634 - acc: 0.6958
59/102 [================>.............] - ETA: 0s - loss: 0.5528 - acc: 0.7007
68/102 [===================>..........] - ETA: 0s - loss: 0.5497 - acc: 0.7068
76/102 [=====================>........] - ETA: 0s - loss: 0.5473 - acc: 0.7111
89/102 [=========================>....] - ETA: 0s - loss: 0.5440 - acc: 0.7139
102/102 [==============================] - 0s 4ms/step - loss: 0.5473 - acc: 0.7122
102/102 [==============================] - 1s 6ms/step - loss: 0.5473 - acc: 0.7122 - val_loss: 0.5096 - val_acc: 0.7513
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.5390 - acc: 0.7400
16/102 [===>..........................] - ETA: 0s - loss: 0.5594 - acc: 0.7063
34/102 [=========>....................] - ETA: 0s - loss: 0.5268 - acc: 0.7288
52/102 [==============>...............] - ETA: 0s - loss: 0.5314 - acc: 0.7246
70/102 [===================>..........] - ETA: 0s - loss: 0.5278 - acc: 0.7240
85/102 [========================>.....] - ETA: 0s - loss: 0.5286 - acc: 0.7256
87/102 [========================>.....] - ETA: 0s - loss: 0.5306 - acc: 0.7237
93/102 [==========================>...] - ETA: 0s - loss: 0.5288 - acc: 0.7239
102/102 [==============================] - 0s 4ms/step - loss: 0.5272 - acc: 0.7250
102/102 [==============================] - 1s 8ms/step - loss: 0.5272 - acc: 0.7250 - val_loss: 0.4952 - val_acc: 0.7584
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.4814 - acc: 0.7000
17/102 [====>.........................] - ETA: 0s - loss: 0.4790 - acc: 0.7471
35/102 [=========>....................] - ETA: 0s - loss: 0.5148 - acc: 0.7394
54/102 [==============>...............] - ETA: 0s - loss: 0.5274 - acc: 0.7304
70/102 [===================>..........] - ETA: 0s - loss: 0.5254 - acc: 0.7309
83/102 [=======================>......] - ETA: 0s - loss: 0.5190 - acc: 0.7361
101/102 [============================>.] - ETA: 0s - loss: 0.5178 - acc: 0.7354
102/102 [==============================] - 0s 3ms/step - loss: 0.5177 - acc: 0.7353
102/102 [==============================] - 1s 6ms/step - loss: 0.5177 - acc: 0.7353 - val_loss: 0.4967 - val_acc: 0.7602
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.4400 - acc: 0.7600
19/102 [====>.........................] - ETA: 0s - loss: 0.5138 - acc: 0.7400
30/102 [=======>......................] - ETA: 0s - loss: 0.5122 - acc: 0.7500
48/102 [=============>................] - ETA: 0s - loss: 0.5046 - acc: 0.7492
65/102 [==================>...........] - ETA: 0s - loss: 0.5008 - acc: 0.7520
80/102 [======================>.......] - ETA: 0s - loss: 0.5041 - acc: 0.7462
92/102 [==========================>...] - ETA: 0s - loss: 0.5043 - acc: 0.7433
102/102 [==============================] - 0s 3ms/step - loss: 0.5043 - acc: 0.7433
102/102 [==============================] - 1s 8ms/step - loss: 0.5043 - acc: 0.7433 - val_loss: 0.4718 - val_acc: 0.7673
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.5188 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.4982 - acc: 0.7556
35/102 [=========>....................] - ETA: 0s - loss: 0.4810 - acc: 0.7600
47/102 [============>.................] - ETA: 0s - loss: 0.4801 - acc: 0.7566
63/102 [=================>............] - ETA: 0s - loss: 0.4898 - acc: 0.7597
71/102 [===================>..........] - ETA: 0s - loss: 0.4931 - acc: 0.7558
84/102 [=======================>......] - ETA: 0s - loss: 0.5008 - acc: 0.7493
100/102 [============================>.] - ETA: 0s - loss: 0.4973 - acc: 0.7462
102/102 [==============================] - 0s 4ms/step - loss: 0.4988 - acc: 0.7463
102/102 [==============================] - 1s 10ms/step - loss: 0.4988 - acc: 0.7463 - val_loss: 0.4787 - val_acc: 0.7620
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.4816 - acc: 0.7400
13/102 [==>...........................] - ETA: 0s - loss: 0.5093 - acc: 0.7446
32/102 [========>.....................] - ETA: 0s - loss: 0.5096 - acc: 0.7431
48/102 [=============>................] - ETA: 0s - loss: 0.5041 - acc: 0.7471
65/102 [==================>...........] - ETA: 0s - loss: 0.4884 - acc: 0.7495
82/102 [=======================>......] - ETA: 0s - loss: 0.5038 - acc: 0.7429
99/102 [============================>.] - ETA: 0s - loss: 0.5002 - acc: 0.7444
102/102 [==============================] - 0s 3ms/step - loss: 0.5012 - acc: 0.7445
102/102 [==============================] - 1s 6ms/step - loss: 0.5012 - acc: 0.7445 - val_loss: 0.4814 - val_acc: 0.7655
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.6318 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.4978 - acc: 0.7356
36/102 [=========>....................] - ETA: 0s - loss: 0.4934 - acc: 0.7333
54/102 [==============>...............] - ETA: 0s - loss: 0.4971 - acc: 0.7422
70/102 [===================>..........] - ETA: 0s - loss: 0.4878 - acc: 0.7520
87/102 [========================>.....] - ETA: 0s - loss: 0.4967 - acc: 0.7471
102/102 [==============================] - 0s 3ms/step - loss: 0.4960 - acc: 0.7463
102/102 [==============================] - 1s 6ms/step - loss: 0.4960 - acc: 0.7463 - val_loss: 0.5088 - val_acc: 0.7407
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.6670 - acc: 0.5800
16/102 [===>..........................] - ETA: 0s - loss: 0.5386 - acc: 0.7150
18/102 [====>.........................] - ETA: 0s - loss: 0.5353 - acc: 0.7100
34/102 [=========>....................] - ETA: 0s - loss: 0.5235 - acc: 0.7159
46/102 [============>.................] - ETA: 0s - loss: 0.5226 - acc: 0.7283
64/102 [=================>............] - ETA: 0s - loss: 0.5089 - acc: 0.7384
72/102 [====================>.........] - ETA: 0s - loss: 0.5010 - acc: 0.7439
89/102 [=========================>....] - ETA: 0s - loss: 0.5002 - acc: 0.7434
102/102 [==============================] - 0s 5ms/step - loss: 0.4982 - acc: 0.7457
102/102 [==============================] - 1s 7ms/step - loss: 0.4982 - acc: 0.7457 - val_loss: 0.4771 - val_acc: 0.7655
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.3966 - acc: 0.8600
18/102 [====>.........................] - ETA: 0s - loss: 0.5027 - acc: 0.7311
37/102 [=========>....................] - ETA: 0s - loss: 0.4939 - acc: 0.7351
56/102 [===============>..............] - ETA: 0s - loss: 0.4958 - acc: 0.7414
71/102 [===================>..........] - ETA: 0s - loss: 0.4938 - acc: 0.7386
88/102 [========================>.....] - ETA: 0s - loss: 0.4945 - acc: 0.7434
102/102 [==============================] - 0s 3ms/step - loss: 0.4994 - acc: 0.7428
102/102 [==============================] - 1s 5ms/step - loss: 0.4994 - acc: 0.7428 - val_loss: 0.4896 - val_acc: 0.7549
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.6828 - acc: 0.6400
18/102 [====>.........................] - ETA: 0s - loss: 0.5206 - acc: 0.7389
35/102 [=========>....................] - ETA: 0s - loss: 0.4847 - acc: 0.7457
53/102 [==============>...............] - ETA: 0s - loss: 0.4924 - acc: 0.7525
70/102 [===================>..........] - ETA: 0s - loss: 0.4994 - acc: 0.7497
76/102 [=====================>........] - ETA: 0s - loss: 0.4933 - acc: 0.7532
90/102 [=========================>....] - ETA: 0s - loss: 0.4970 - acc: 0.7504
102/102 [==============================] - 0s 3ms/step - loss: 0.4985 - acc: 0.7471
102/102 [==============================] - 1s 6ms/step - loss: 0.4985 - acc: 0.7471 - val_loss: 0.4939 - val_acc: 0.7549
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.5822 - acc: 0.8000
18/102 [====>.........................] - ETA: 0s - loss: 0.5092 - acc: 0.7356
36/102 [=========>....................] - ETA: 0s - loss: 0.4977 - acc: 0.7433
54/102 [==============>...............] - ETA: 0s - loss: 0.4934 - acc: 0.7456
71/102 [===================>..........] - ETA: 0s - loss: 0.4883 - acc: 0.7476
89/102 [=========================>....] - ETA: 0s - loss: 0.4937 - acc: 0.7425
99/102 [============================>.] - ETA: 0s - loss: 0.4928 - acc: 0.7432
102/102 [==============================] - 0s 3ms/step - loss: 0.4921 - acc: 0.7430
102/102 [==============================] - 1s 6ms/step - loss: 0.4921 - acc: 0.7430 - val_loss: 0.4903 - val_acc: 0.7549
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.3549 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.4907 - acc: 0.7556
37/102 [=========>....................] - ETA: 0s - loss: 0.4784 - acc: 0.7595
55/102 [===============>..............] - ETA: 0s - loss: 0.4824 - acc: 0.7524
71/102 [===================>..........] - ETA: 0s - loss: 0.4863 - acc: 0.7518
87/102 [========================>.....] - ETA: 0s - loss: 0.4927 - acc: 0.7471
102/102 [==============================] - 0s 3ms/step - loss: 0.4947 - acc: 0.7504
102/102 [==============================] - 1s 6ms/step - loss: 0.4947 - acc: 0.7504 - val_loss: 0.4988 - val_acc: 0.7460
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.4898 - acc: 0.7600
16/102 [===>..........................] - ETA: 0s - loss: 0.4893 - acc: 0.7350
33/102 [========>.....................] - ETA: 0s - loss: 0.4914 - acc: 0.7412
50/102 [=============>................] - ETA: 0s - loss: 0.4903 - acc: 0.7392
64/102 [=================>............] - ETA: 0s - loss: 0.4954 - acc: 0.7403
71/102 [===================>..........] - ETA: 0s - loss: 0.5006 - acc: 0.7375
78/102 [=====================>........] - ETA: 0s - loss: 0.5001 - acc: 0.7387
94/102 [==========================>...] - ETA: 0s - loss: 0.4936 - acc: 0.7415
102/102 [==============================] - 0s 4ms/step - loss: 0.4945 - acc: 0.7420
102/102 [==============================] - 1s 7ms/step - loss: 0.4945 - acc: 0.7420 - val_loss: 0.4868 - val_acc: 0.7567
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.3718 - acc: 0.8400
18/102 [====>.........................] - ETA: 0s - loss: 0.5004 - acc: 0.7400
37/102 [=========>....................] - ETA: 0s - loss: 0.5052 - acc: 0.7384
52/102 [==============>...............] - ETA: 0s - loss: 0.4990 - acc: 0.7419
69/102 [===================>..........] - ETA: 0s - loss: 0.4967 - acc: 0.7394
86/102 [========================>.....] - ETA: 0s - loss: 0.4910 - acc: 0.7449
102/102 [==============================] - 0s 3ms/step - loss: 0.4921 - acc: 0.7447
102/102 [==============================] - 1s 6ms/step - loss: 0.4921 - acc: 0.7447 - val_loss: 0.4926 - val_acc: 0.7531
Run completed: runs/2024-05-06T19-48-42Z
Training run 45/52 (flags = list(16, 64, 0.01, 50, 50, "tanh", "sigmoid", 0.5, 0.2))
Using run directory runs/2024-05-06T19-48-55Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/102 [..............................] - ETA: 2:00 - loss: 0.7277 - acc: 0.6400
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0293s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0293s). Check your callbacks.
17/102 [====>.........................] - ETA: 0s - loss: 0.7019 - acc: 0.5871
32/102 [========>.....................] - ETA: 0s - loss: 0.6896 - acc: 0.5781
46/102 [============>.................] - ETA: 0s - loss: 0.6840 - acc: 0.5935
62/102 [=================>............] - ETA: 0s - loss: 0.6669 - acc: 0.5990
78/102 [=====================>........] - ETA: 0s - loss: 0.6555 - acc: 0.6223
94/102 [==========================>...] - ETA: 0s - loss: 0.6435 - acc: 0.6362
102/102 [==============================] - 2s 3ms/step - loss: 0.6379 - acc: 0.6412
102/102 [==============================] - 2s 11ms/step - loss: 0.6379 - acc: 0.6412 - val_loss: 0.5323 - val_acc: 0.7407
Epoch 2/50
1/102 [..............................] - ETA: 0s - loss: 0.4228 - acc: 0.8400
14/102 [===>..........................] - ETA: 0s - loss: 0.5135 - acc: 0.7643
23/102 [=====>........................] - ETA: 0s - loss: 0.5181 - acc: 0.7574
39/102 [==========>...................] - ETA: 0s - loss: 0.5149 - acc: 0.7533
51/102 [==============>...............] - ETA: 0s - loss: 0.5243 - acc: 0.7435
65/102 [==================>...........] - ETA: 0s - loss: 0.5332 - acc: 0.7388
80/102 [======================>.......] - ETA: 0s - loss: 0.5273 - acc: 0.7380
95/102 [==========================>...] - ETA: 0s - loss: 0.5253 - acc: 0.7411
102/102 [==============================] - 0s 4ms/step - loss: 0.5279 - acc: 0.7388
102/102 [==============================] - 1s 6ms/step - loss: 0.5279 - acc: 0.7388 - val_loss: 0.5031 - val_acc: 0.7567
Epoch 3/50
1/102 [..............................] - ETA: 0s - loss: 0.5239 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.5120 - acc: 0.7600
35/102 [=========>....................] - ETA: 0s - loss: 0.5172 - acc: 0.7474
50/102 [=============>................] - ETA: 0s - loss: 0.5122 - acc: 0.7512
66/102 [==================>...........] - ETA: 0s - loss: 0.5211 - acc: 0.7448
82/102 [=======================>......] - ETA: 0s - loss: 0.5257 - acc: 0.7454
85/102 [========================>.....] - ETA: 0s - loss: 0.5260 - acc: 0.7440
102/102 [==============================] - 0s 4ms/step - loss: 0.5204 - acc: 0.7439
102/102 [==============================] - 1s 7ms/step - loss: 0.5204 - acc: 0.7439 - val_loss: 0.4796 - val_acc: 0.7602
Epoch 4/50
1/102 [..............................] - ETA: 0s - loss: 0.7448 - acc: 0.6400
16/102 [===>..........................] - ETA: 0s - loss: 0.5542 - acc: 0.7262
27/102 [======>.......................] - ETA: 0s - loss: 0.5199 - acc: 0.7511
43/102 [===========>..................] - ETA: 0s - loss: 0.5176 - acc: 0.7572
53/102 [==============>...............] - ETA: 0s - loss: 0.5159 - acc: 0.7528
65/102 [==================>...........] - ETA: 0s - loss: 0.5153 - acc: 0.7455
75/102 [=====================>........] - ETA: 0s - loss: 0.5194 - acc: 0.7432
91/102 [=========================>....] - ETA: 0s - loss: 0.5112 - acc: 0.7444
102/102 [==============================] - 0s 4ms/step - loss: 0.5165 - acc: 0.7461
102/102 [==============================] - 1s 7ms/step - loss: 0.5165 - acc: 0.7461 - val_loss: 0.4775 - val_acc: 0.7602
Epoch 5/50
1/102 [..............................] - ETA: 0s - loss: 0.4350 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.5213 - acc: 0.7475
32/102 [========>.....................] - ETA: 0s - loss: 0.5015 - acc: 0.7556
49/102 [=============>................] - ETA: 0s - loss: 0.4984 - acc: 0.7527
65/102 [==================>...........] - ETA: 0s - loss: 0.4957 - acc: 0.7545
80/102 [======================>.......] - ETA: 0s - loss: 0.5002 - acc: 0.7523
93/102 [==========================>...] - ETA: 0s - loss: 0.5065 - acc: 0.7505
101/102 [============================>.] - ETA: 0s - loss: 0.5112 - acc: 0.7483
102/102 [==============================] - 0s 4ms/step - loss: 0.5116 - acc: 0.7477
102/102 [==============================] - 1s 8ms/step - loss: 0.5116 - acc: 0.7477 - val_loss: 0.5156 - val_acc: 0.7442
Epoch 6/50
1/102 [..............................] - ETA: 0s - loss: 0.4211 - acc: 0.7800
14/102 [===>..........................] - ETA: 0s - loss: 0.4855 - acc: 0.7629
32/102 [========>.....................] - ETA: 0s - loss: 0.4853 - acc: 0.7581
49/102 [=============>................] - ETA: 0s - loss: 0.5027 - acc: 0.7543
64/102 [=================>............] - ETA: 0s - loss: 0.5052 - acc: 0.7556
81/102 [======================>.......] - ETA: 0s - loss: 0.5011 - acc: 0.7560
97/102 [===========================>..] - ETA: 0s - loss: 0.5064 - acc: 0.7536
102/102 [==============================] - 0s 3ms/step - loss: 0.5066 - acc: 0.7528
102/102 [==============================] - 1s 7ms/step - loss: 0.5066 - acc: 0.7528 - val_loss: 0.4898 - val_acc: 0.7602
Epoch 7/50
1/102 [..............................] - ETA: 0s - loss: 0.5826 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.5028 - acc: 0.7576
34/102 [=========>....................] - ETA: 0s - loss: 0.4980 - acc: 0.7576
49/102 [=============>................] - ETA: 0s - loss: 0.5013 - acc: 0.7596
57/102 [===============>..............] - ETA: 0s - loss: 0.5047 - acc: 0.7586
61/102 [================>.............] - ETA: 0s - loss: 0.5059 - acc: 0.7587
74/102 [====================>.........] - ETA: 0s - loss: 0.5103 - acc: 0.7573
90/102 [=========================>....] - ETA: 0s - loss: 0.5080 - acc: 0.7542
102/102 [==============================] - 0s 4ms/step - loss: 0.5056 - acc: 0.7554
102/102 [==============================] - 1s 6ms/step - loss: 0.5056 - acc: 0.7554 - val_loss: 0.4822 - val_acc: 0.7620
Epoch 8/50
1/102 [..............................] - ETA: 0s - loss: 0.6243 - acc: 0.7600
12/102 [==>...........................] - ETA: 0s - loss: 0.4987 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.4858 - acc: 0.7744
32/102 [========>.....................] - ETA: 0s - loss: 0.4906 - acc: 0.7656
48/102 [=============>................] - ETA: 0s - loss: 0.4997 - acc: 0.7621
59/102 [================>.............] - ETA: 0s - loss: 0.5058 - acc: 0.7569
65/102 [==================>...........] - ETA: 0s - loss: 0.5065 - acc: 0.7557
83/102 [=======================>......] - ETA: 0s - loss: 0.5063 - acc: 0.7513
95/102 [==========================>...] - ETA: 0s - loss: 0.5061 - acc: 0.7507
102/102 [==============================] - 0s 5ms/step - loss: 0.5061 - acc: 0.7469
102/102 [==============================] - 1s 8ms/step - loss: 0.5061 - acc: 0.7469 - val_loss: 0.4970 - val_acc: 0.7584
Epoch 9/50
1/102 [..............................] - ETA: 0s - loss: 0.4640 - acc: 0.7400
16/102 [===>..........................] - ETA: 0s - loss: 0.5291 - acc: 0.7425
34/102 [=========>....................] - ETA: 0s - loss: 0.4988 - acc: 0.7588
51/102 [==============>...............] - ETA: 0s - loss: 0.4983 - acc: 0.7592
66/102 [==================>...........] - ETA: 0s - loss: 0.4960 - acc: 0.7588
82/102 [=======================>......] - ETA: 0s - loss: 0.4936 - acc: 0.7554
100/102 [============================>.] - ETA: 0s - loss: 0.5036 - acc: 0.7520
102/102 [==============================] - 0s 3ms/step - loss: 0.5029 - acc: 0.7520
102/102 [==============================] - 1s 5ms/step - loss: 0.5029 - acc: 0.7520 - val_loss: 0.5071 - val_acc: 0.7531
Epoch 10/50
1/102 [..............................] - ETA: 0s - loss: 0.4968 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.5251 - acc: 0.7387
33/102 [========>.....................] - ETA: 0s - loss: 0.5291 - acc: 0.7255
49/102 [=============>................] - ETA: 0s - loss: 0.5236 - acc: 0.7322
65/102 [==================>...........] - ETA: 0s - loss: 0.5149 - acc: 0.7378
77/102 [=====================>........] - ETA: 0s - loss: 0.5080 - acc: 0.7413
93/102 [==========================>...] - ETA: 0s - loss: 0.5072 - acc: 0.7452
102/102 [==============================] - 0s 3ms/step - loss: 0.5101 - acc: 0.7433
102/102 [==============================] - 1s 6ms/step - loss: 0.5101 - acc: 0.7433 - val_loss: 0.4780 - val_acc: 0.7620
Epoch 11/50
1/102 [..............................] - ETA: 0s - loss: 0.5453 - acc: 0.7400
14/102 [===>..........................] - ETA: 0s - loss: 0.5396 - acc: 0.7500
31/102 [========>.....................] - ETA: 0s - loss: 0.5274 - acc: 0.7387
48/102 [=============>................] - ETA: 0s - loss: 0.5142 - acc: 0.7387
65/102 [==================>...........] - ETA: 0s - loss: 0.5120 - acc: 0.7440
80/102 [======================>.......] - ETA: 0s - loss: 0.5105 - acc: 0.7445
94/102 [==========================>...] - ETA: 0s - loss: 0.5071 - acc: 0.7457
102/102 [==============================] - 0s 3ms/step - loss: 0.5078 - acc: 0.7447
102/102 [==============================] - 1s 6ms/step - loss: 0.5078 - acc: 0.7447 - val_loss: 0.4943 - val_acc: 0.7549
Epoch 12/50
1/102 [..............................] - ETA: 0s - loss: 0.5758 - acc: 0.6800
16/102 [===>..........................] - ETA: 0s - loss: 0.5422 - acc: 0.7088
34/102 [=========>....................] - ETA: 0s - loss: 0.5166 - acc: 0.7335
51/102 [==============>...............] - ETA: 0s - loss: 0.5125 - acc: 0.7408
66/102 [==================>...........] - ETA: 0s - loss: 0.5047 - acc: 0.7494
82/102 [=======================>......] - ETA: 0s - loss: 0.5008 - acc: 0.7524
100/102 [============================>.] - ETA: 0s - loss: 0.5067 - acc: 0.7510
102/102 [==============================] - 0s 3ms/step - loss: 0.5049 - acc: 0.7520
102/102 [==============================] - 1s 5ms/step - loss: 0.5049 - acc: 0.7520 - val_loss: 0.5063 - val_acc: 0.7478
Epoch 13/50
1/102 [..............................] - ETA: 0s - loss: 0.5735 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5098 - acc: 0.7376
26/102 [======>.......................] - ETA: 0s - loss: 0.5057 - acc: 0.7423
35/102 [=========>....................] - ETA: 0s - loss: 0.5103 - acc: 0.7417
46/102 [============>.................] - ETA: 0s - loss: 0.5164 - acc: 0.7422
62/102 [=================>............] - ETA: 0s - loss: 0.5046 - acc: 0.7455
74/102 [====================>.........] - ETA: 0s - loss: 0.5026 - acc: 0.7516
88/102 [========================>.....] - ETA: 0s - loss: 0.5010 - acc: 0.7527
96/102 [===========================>..] - ETA: 0s - loss: 0.4984 - acc: 0.7533
102/102 [==============================] - 1s 5ms/step - loss: 0.5047 - acc: 0.7504
102/102 [==============================] - 1s 8ms/step - loss: 0.5047 - acc: 0.7504 - val_loss: 0.5091 - val_acc: 0.7460
Epoch 14/50
1/102 [..............................] - ETA: 0s - loss: 0.5205 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.5098 - acc: 0.7256
36/102 [=========>....................] - ETA: 0s - loss: 0.5013 - acc: 0.7356
54/102 [==============>...............] - ETA: 0s - loss: 0.5002 - acc: 0.7474
70/102 [===================>..........] - ETA: 0s - loss: 0.4999 - acc: 0.7486
86/102 [========================>.....] - ETA: 0s - loss: 0.5078 - acc: 0.7460
102/102 [==============================] - 0s 3ms/step - loss: 0.5038 - acc: 0.7441
102/102 [==============================] - 1s 5ms/step - loss: 0.5038 - acc: 0.7441 - val_loss: 0.5004 - val_acc: 0.7460
Run completed: runs/2024-05-06T19-48-55Z
Training run 46/52 (flags = list(16, 32, 0.01, 50, 50, "sigmoid", "relu", 0.2, 0.5))
Using run directory runs/2024-05-06T19-49-07Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/102 [..............................] - ETA: 2:51 - loss: 0.7337 - acc: 0.2600
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.1130s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.1130s). Check your callbacks.
17/102 [====>.........................] - ETA: 0s - loss: 0.7164 - acc: 0.4671
35/102 [=========>....................] - ETA: 0s - loss: 0.7000 - acc: 0.5051
53/102 [==============>...............] - ETA: 0s - loss: 0.6962 - acc: 0.5253
63/102 [=================>............] - ETA: 0s - loss: 0.6910 - acc: 0.5305
80/102 [======================>.......] - ETA: 0s - loss: 0.6853 - acc: 0.5437
96/102 [===========================>..] - ETA: 0s - loss: 0.6805 - acc: 0.5504
102/102 [==============================] - 2s 4ms/step - loss: 0.6805 - acc: 0.5525
102/102 [==============================] - 3s 12ms/step - loss: 0.6805 - acc: 0.5525 - val_loss: 0.6237 - val_acc: 0.7229
Epoch 2/50
1/102 [..............................] - ETA: 0s - loss: 0.6059 - acc: 0.6200
17/102 [====>.........................] - ETA: 0s - loss: 0.6333 - acc: 0.6141
28/102 [=======>......................] - ETA: 0s - loss: 0.6316 - acc: 0.6314
34/102 [=========>....................] - ETA: 0s - loss: 0.6330 - acc: 0.6347
50/102 [=============>................] - ETA: 0s - loss: 0.6217 - acc: 0.6396
68/102 [===================>..........] - ETA: 0s - loss: 0.6164 - acc: 0.6476
77/102 [=====================>........] - ETA: 0s - loss: 0.6134 - acc: 0.6532
78/102 [=====================>........] - ETA: 0s - loss: 0.6133 - acc: 0.6528
92/102 [==========================>...] - ETA: 0s - loss: 0.6085 - acc: 0.6580
102/102 [==============================] - 0s 4ms/step - loss: 0.6049 - acc: 0.6635
102/102 [==============================] - 1s 6ms/step - loss: 0.6049 - acc: 0.6635 - val_loss: 0.5375 - val_acc: 0.7602
Epoch 3/50
1/102 [..............................] - ETA: 0s - loss: 0.5740 - acc: 0.6200
18/102 [====>.........................] - ETA: 0s - loss: 0.5560 - acc: 0.7011
36/102 [=========>....................] - ETA: 0s - loss: 0.5707 - acc: 0.7011
53/102 [==============>...............] - ETA: 0s - loss: 0.5709 - acc: 0.7034
60/102 [================>.............] - ETA: 0s - loss: 0.5688 - acc: 0.7067
77/102 [=====================>........] - ETA: 0s - loss: 0.5677 - acc: 0.7094
86/102 [========================>.....] - ETA: 0s - loss: 0.5663 - acc: 0.7119
102/102 [==============================] - 0s 3ms/step - loss: 0.5649 - acc: 0.7134
102/102 [==============================] - 1s 7ms/step - loss: 0.5649 - acc: 0.7134 - val_loss: 0.5033 - val_acc: 0.7584
Epoch 4/50
1/102 [..............................] - ETA: 0s - loss: 0.5349 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.6092 - acc: 0.7178
37/102 [=========>....................] - ETA: 0s - loss: 0.5756 - acc: 0.7249
54/102 [==============>...............] - ETA: 0s - loss: 0.5664 - acc: 0.7267
70/102 [===================>..........] - ETA: 0s - loss: 0.5593 - acc: 0.7300
85/102 [========================>.....] - ETA: 0s - loss: 0.5590 - acc: 0.7278
102/102 [==============================] - 0s 3ms/step - loss: 0.5556 - acc: 0.7292
102/102 [==============================] - 1s 6ms/step - loss: 0.5556 - acc: 0.7292 - val_loss: 0.4958 - val_acc: 0.7602
Epoch 5/50
1/102 [..............................] - ETA: 0s - loss: 0.5474 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5426 - acc: 0.7267
36/102 [=========>....................] - ETA: 0s - loss: 0.5480 - acc: 0.7306
54/102 [==============>...............] - ETA: 0s - loss: 0.5455 - acc: 0.7359
72/102 [====================>.........] - ETA: 0s - loss: 0.5359 - acc: 0.7458
88/102 [========================>.....] - ETA: 0s - loss: 0.5314 - acc: 0.7441
102/102 [==============================] - 0s 3ms/step - loss: 0.5339 - acc: 0.7428
102/102 [==============================] - 1s 6ms/step - loss: 0.5339 - acc: 0.7428 - val_loss: 0.4935 - val_acc: 0.7602
Epoch 6/50
1/102 [..............................] - ETA: 0s - loss: 0.5591 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.5488 - acc: 0.7318
35/102 [=========>....................] - ETA: 0s - loss: 0.5298 - acc: 0.7331
51/102 [==============>...............] - ETA: 0s - loss: 0.5319 - acc: 0.7416
68/102 [===================>..........] - ETA: 0s - loss: 0.5317 - acc: 0.7432
84/102 [=======================>......] - ETA: 0s - loss: 0.5276 - acc: 0.7498
99/102 [============================>.] - ETA: 0s - loss: 0.5254 - acc: 0.7501
102/102 [==============================] - 0s 3ms/step - loss: 0.5258 - acc: 0.7487
102/102 [==============================] - 1s 7ms/step - loss: 0.5258 - acc: 0.7487 - val_loss: 0.4946 - val_acc: 0.7567
Epoch 7/50
1/102 [..............................] - ETA: 0s - loss: 0.7400 - acc: 0.7200
18/102 [====>.........................] - ETA: 0s - loss: 0.5315 - acc: 0.7411
36/102 [=========>....................] - ETA: 0s - loss: 0.5266 - acc: 0.7378
44/102 [===========>..................] - ETA: 0s - loss: 0.5290 - acc: 0.7400
58/102 [================>.............] - ETA: 0s - loss: 0.5245 - acc: 0.7428
76/102 [=====================>........] - ETA: 0s - loss: 0.5267 - acc: 0.7439
93/102 [==========================>...] - ETA: 0s - loss: 0.5224 - acc: 0.7454
102/102 [==============================] - 0s 3ms/step - loss: 0.5241 - acc: 0.7467
102/102 [==============================] - 1s 6ms/step - loss: 0.5241 - acc: 0.7467 - val_loss: 0.4812 - val_acc: 0.7673
Epoch 8/50
1/102 [..............................] - ETA: 0s - loss: 0.6406 - acc: 0.6200
17/102 [====>.........................] - ETA: 0s - loss: 0.5259 - acc: 0.7271
36/102 [=========>....................] - ETA: 0s - loss: 0.5262 - acc: 0.7367
54/102 [==============>...............] - ETA: 0s - loss: 0.5051 - acc: 0.7478
71/102 [===================>..........] - ETA: 0s - loss: 0.5062 - acc: 0.7501
88/102 [========================>.....] - ETA: 0s - loss: 0.5099 - acc: 0.7493
102/102 [==============================] - 0s 3ms/step - loss: 0.5105 - acc: 0.7479
102/102 [==============================] - 1s 7ms/step - loss: 0.5105 - acc: 0.7479 - val_loss: 0.4865 - val_acc: 0.7584
Epoch 9/50
1/102 [..............................] - ETA: 0s - loss: 0.4490 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.5318 - acc: 0.7424
35/102 [=========>....................] - ETA: 0s - loss: 0.5063 - acc: 0.7600
51/102 [==============>...............] - ETA: 0s - loss: 0.5085 - acc: 0.7537
68/102 [===================>..........] - ETA: 0s - loss: 0.5158 - acc: 0.7479
86/102 [========================>.....] - ETA: 0s - loss: 0.5172 - acc: 0.7500
102/102 [==============================] - 0s 3ms/step - loss: 0.5105 - acc: 0.7520
102/102 [==============================] - 1s 6ms/step - loss: 0.5105 - acc: 0.7520 - val_loss: 0.4888 - val_acc: 0.7584
Epoch 10/50
1/102 [..............................] - ETA: 0s - loss: 0.4601 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.5412 - acc: 0.7222
37/102 [=========>....................] - ETA: 0s - loss: 0.5254 - acc: 0.7378
55/102 [===============>..............] - ETA: 0s - loss: 0.5145 - acc: 0.7433
69/102 [===================>..........] - ETA: 0s - loss: 0.5167 - acc: 0.7467
85/102 [========================>.....] - ETA: 0s - loss: 0.5176 - acc: 0.7452
96/102 [===========================>..] - ETA: 0s - loss: 0.5150 - acc: 0.7458
102/102 [==============================] - 0s 3ms/step - loss: 0.5154 - acc: 0.7453
102/102 [==============================] - 1s 6ms/step - loss: 0.5154 - acc: 0.7453 - val_loss: 0.4764 - val_acc: 0.7638
Epoch 11/50
1/102 [..............................] - ETA: 0s - loss: 0.4584 - acc: 0.8200
19/102 [====>.........................] - ETA: 0s - loss: 0.5421 - acc: 0.7284
34/102 [=========>....................] - ETA: 0s - loss: 0.5231 - acc: 0.7406
52/102 [==============>...............] - ETA: 0s - loss: 0.5185 - acc: 0.7404
69/102 [===================>..........] - ETA: 0s - loss: 0.5211 - acc: 0.7394
85/102 [========================>.....] - ETA: 0s - loss: 0.5203 - acc: 0.7414
102/102 [==============================] - 0s 3ms/step - loss: 0.5079 - acc: 0.7506
102/102 [==============================] - 1s 5ms/step - loss: 0.5079 - acc: 0.7506 - val_loss: 0.4790 - val_acc: 0.7673
Epoch 12/50
1/102 [..............................] - ETA: 0s - loss: 0.5237 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5462 - acc: 0.7489
36/102 [=========>....................] - ETA: 0s - loss: 0.5168 - acc: 0.7506
54/102 [==============>...............] - ETA: 0s - loss: 0.5068 - acc: 0.7478
73/102 [====================>.........] - ETA: 0s - loss: 0.5124 - acc: 0.7485
91/102 [=========================>....] - ETA: 0s - loss: 0.5092 - acc: 0.7505
102/102 [==============================] - 0s 3ms/step - loss: 0.5109 - acc: 0.7500
102/102 [==============================] - 1s 5ms/step - loss: 0.5109 - acc: 0.7500 - val_loss: 0.4807 - val_acc: 0.7691
Epoch 13/50
1/102 [..............................] - ETA: 0s - loss: 0.5509 - acc: 0.6800
17/102 [====>.........................] - ETA: 0s - loss: 0.5079 - acc: 0.7612
34/102 [=========>....................] - ETA: 0s - loss: 0.5175 - acc: 0.7494
52/102 [==============>...............] - ETA: 0s - loss: 0.5047 - acc: 0.7531
68/102 [===================>..........] - ETA: 0s - loss: 0.5129 - acc: 0.7450
84/102 [=======================>......] - ETA: 0s - loss: 0.5124 - acc: 0.7443
102/102 [==============================] - 0s 3ms/step - loss: 0.5064 - acc: 0.7469
102/102 [==============================] - 1s 6ms/step - loss: 0.5064 - acc: 0.7469 - val_loss: 0.4790 - val_acc: 0.7673
Epoch 14/50
1/102 [..............................] - ETA: 1s - loss: 0.5364 - acc: 0.7800
18/102 [====>.........................] - ETA: 0s - loss: 0.5158 - acc: 0.7533
33/102 [========>.....................] - ETA: 0s - loss: 0.5107 - acc: 0.7521
51/102 [==============>...............] - ETA: 0s - loss: 0.5119 - acc: 0.7424
55/102 [===============>..............] - ETA: 0s - loss: 0.5052 - acc: 0.7440
72/102 [====================>.........] - ETA: 0s - loss: 0.5103 - acc: 0.7450
76/102 [=====================>........] - ETA: 0s - loss: 0.5056 - acc: 0.7476
87/102 [========================>.....] - ETA: 0s - loss: 0.5076 - acc: 0.7453
102/102 [==============================] - 0s 4ms/step - loss: 0.5065 - acc: 0.7465
102/102 [==============================] - 1s 7ms/step - loss: 0.5065 - acc: 0.7465 - val_loss: 0.4879 - val_acc: 0.7513
Epoch 15/50
1/102 [..............................] - ETA: 0s - loss: 0.5149 - acc: 0.8200
17/102 [====>.........................] - ETA: 0s - loss: 0.5060 - acc: 0.7353
34/102 [=========>....................] - ETA: 0s - loss: 0.5102 - acc: 0.7371
45/102 [============>.................] - ETA: 0s - loss: 0.4976 - acc: 0.7444
53/102 [==============>...............] - ETA: 0s - loss: 0.5071 - acc: 0.7415
67/102 [==================>...........] - ETA: 0s - loss: 0.5068 - acc: 0.7442
83/102 [=======================>......] - ETA: 0s - loss: 0.5001 - acc: 0.7506
92/102 [==========================>...] - ETA: 0s - loss: 0.5012 - acc: 0.7498
102/102 [==============================] - 0s 4ms/step - loss: 0.5011 - acc: 0.7497
102/102 [==============================] - 1s 7ms/step - loss: 0.5011 - acc: 0.7497 - val_loss: 0.4770 - val_acc: 0.7655
Epoch 16/50
1/102 [..............................] - ETA: 0s - loss: 0.5925 - acc: 0.6800
18/102 [====>.........................] - ETA: 0s - loss: 0.4950 - acc: 0.7367
37/102 [=========>....................] - ETA: 0s - loss: 0.4895 - acc: 0.7454
55/102 [===============>..............] - ETA: 0s - loss: 0.5027 - acc: 0.7411
73/102 [====================>.........] - ETA: 0s - loss: 0.5016 - acc: 0.7403
92/102 [==========================>...] - ETA: 0s - loss: 0.4992 - acc: 0.7437
102/102 [==============================] - 0s 3ms/step - loss: 0.4965 - acc: 0.7469
102/102 [==============================] - 1s 6ms/step - loss: 0.4965 - acc: 0.7469 - val_loss: 0.4864 - val_acc: 0.7549
Epoch 17/50
1/102 [..............................] - ETA: 0s - loss: 0.4819 - acc: 0.7800
17/102 [====>.........................] - ETA: 0s - loss: 0.5192 - acc: 0.7435
34/102 [=========>....................] - ETA: 0s - loss: 0.5256 - acc: 0.7329
51/102 [==============>...............] - ETA: 0s - loss: 0.5193 - acc: 0.7427
69/102 [===================>..........] - ETA: 0s - loss: 0.5158 - acc: 0.7383
85/102 [========================>.....] - ETA: 0s - loss: 0.5088 - acc: 0.7428
102/102 [==============================] - 0s 3ms/step - loss: 0.5039 - acc: 0.7457
102/102 [==============================] - 1s 6ms/step - loss: 0.5039 - acc: 0.7457 - val_loss: 0.4800 - val_acc: 0.7584
Epoch 18/50
1/102 [..............................] - ETA: 0s - loss: 0.3528 - acc: 0.8400
18/102 [====>.........................] - ETA: 0s - loss: 0.4916 - acc: 0.7667
36/102 [=========>....................] - ETA: 0s - loss: 0.4861 - acc: 0.7733
51/102 [==============>...............] - ETA: 0s - loss: 0.4951 - acc: 0.7584
68/102 [===================>..........] - ETA: 0s - loss: 0.5000 - acc: 0.7574
84/102 [=======================>......] - ETA: 0s - loss: 0.4959 - acc: 0.7567
102/102 [==============================] - 0s 3ms/step - loss: 0.4986 - acc: 0.7548
102/102 [==============================] - 1s 6ms/step - loss: 0.4986 - acc: 0.7548 - val_loss: 0.4789 - val_acc: 0.7584
Epoch 19/50
1/102 [..............................] - ETA: 0s - loss: 0.3852 - acc: 0.7800
13/102 [==>...........................] - ETA: 0s - loss: 0.4684 - acc: 0.7554
17/102 [====>.........................] - ETA: 0s - loss: 0.4834 - acc: 0.7541
30/102 [=======>......................] - ETA: 0s - loss: 0.5206 - acc: 0.7380
47/102 [============>.................] - ETA: 0s - loss: 0.5084 - acc: 0.7400
65/102 [==================>...........] - ETA: 0s - loss: 0.5011 - acc: 0.7375
83/102 [=======================>......] - ETA: 0s - loss: 0.5076 - acc: 0.7434
102/102 [==============================] - 0s 4ms/step - loss: 0.5023 - acc: 0.7418
102/102 [==============================] - 1s 7ms/step - loss: 0.5023 - acc: 0.7418 - val_loss: 0.4865 - val_acc: 0.7531
Epoch 20/50
1/102 [..............................] - ETA: 0s - loss: 0.3748 - acc: 0.9000
18/102 [====>.........................] - ETA: 0s - loss: 0.4818 - acc: 0.7522
37/102 [=========>....................] - ETA: 0s - loss: 0.4798 - acc: 0.7605
55/102 [===============>..............] - ETA: 0s - loss: 0.4879 - acc: 0.7582
72/102 [====================>.........] - ETA: 0s - loss: 0.4963 - acc: 0.7533
84/102 [=======================>......] - ETA: 0s - loss: 0.4938 - acc: 0.7548
94/102 [==========================>...] - ETA: 0s - loss: 0.4979 - acc: 0.7519
102/102 [==============================] - 0s 4ms/step - loss: 0.4969 - acc: 0.7491
102/102 [==============================] - 1s 6ms/step - loss: 0.4969 - acc: 0.7491 - val_loss: 0.4852 - val_acc: 0.7531
Run completed: runs/2024-05-06T19-49-07Z
Training run 47/52 (flags = list(16, 32, 0.01, 50, 30, "relu", "relu", 0.2, 0.2))
Using run directory runs/2024-05-06T19-49-23Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 2:00 - loss: 0.7955 - acc: 0.4200
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0018s vs `on_train_batch_end` time: 0.0288s). Check your callbacks.
18/102 [====>.........................] - ETA: 0s - loss: 0.6758 - acc: 0.6056
37/102 [=========>....................] - ETA: 0s - loss: 0.6453 - acc: 0.6389
54/102 [==============>...............] - ETA: 0s - loss: 0.6197 - acc: 0.6578
73/102 [====================>.........] - ETA: 0s - loss: 0.6047 - acc: 0.6753
91/102 [=========================>....] - ETA: 0s - loss: 0.5893 - acc: 0.6873
102/102 [==============================] - 1s 3ms/step - loss: 0.5889 - acc: 0.6870
102/102 [==============================] - 2s 11ms/step - loss: 0.5889 - acc: 0.6870 - val_loss: 0.4955 - val_acc: 0.7318
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.5552 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.5363 - acc: 0.7256
34/102 [=========>....................] - ETA: 0s - loss: 0.5398 - acc: 0.7259
51/102 [==============>...............] - ETA: 0s - loss: 0.5328 - acc: 0.7263
57/102 [===============>..............] - ETA: 0s - loss: 0.5280 - acc: 0.7281
67/102 [==================>...........] - ETA: 0s - loss: 0.5300 - acc: 0.7269
81/102 [======================>.......] - ETA: 0s - loss: 0.5304 - acc: 0.7286
97/102 [===========================>..] - ETA: 0s - loss: 0.5265 - acc: 0.7249
102/102 [==============================] - 0s 4ms/step - loss: 0.5264 - acc: 0.7248
102/102 [==============================] - 1s 6ms/step - loss: 0.5264 - acc: 0.7248 - val_loss: 0.4878 - val_acc: 0.7496
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.3407 - acc: 0.8200
8/102 [=>............................] - ETA: 1s - loss: 0.5278 - acc: 0.7250
15/102 [===>..........................] - ETA: 0s - loss: 0.5561 - acc: 0.6947
32/102 [========>.....................] - ETA: 0s - loss: 0.5310 - acc: 0.7081
38/102 [==========>...................] - ETA: 0s - loss: 0.5297 - acc: 0.7058
56/102 [===============>..............] - ETA: 0s - loss: 0.5219 - acc: 0.7161
58/102 [================>.............] - ETA: 0s - loss: 0.5241 - acc: 0.7162
76/102 [=====================>........] - ETA: 0s - loss: 0.5198 - acc: 0.7239
86/102 [========================>.....] - ETA: 0s - loss: 0.5142 - acc: 0.7323
102/102 [==============================] - 0s 5ms/step - loss: 0.5147 - acc: 0.7349
102/102 [==============================] - 1s 8ms/step - loss: 0.5147 - acc: 0.7349 - val_loss: 0.4872 - val_acc: 0.7531
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.6116 - acc: 0.6400
18/102 [====>.........................] - ETA: 0s - loss: 0.5012 - acc: 0.7300
37/102 [=========>....................] - ETA: 0s - loss: 0.4988 - acc: 0.7351
54/102 [==============>...............] - ETA: 0s - loss: 0.5117 - acc: 0.7326
66/102 [==================>...........] - ETA: 0s - loss: 0.5202 - acc: 0.7239
83/102 [=======================>......] - ETA: 0s - loss: 0.5134 - acc: 0.7277
93/102 [==========================>...] - ETA: 0s - loss: 0.5133 - acc: 0.7288
102/102 [==============================] - 0s 3ms/step - loss: 0.5102 - acc: 0.7317
102/102 [==============================] - 1s 6ms/step - loss: 0.5102 - acc: 0.7317 - val_loss: 0.4731 - val_acc: 0.7655
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.4475 - acc: 0.7400
18/102 [====>.........................] - ETA: 0s - loss: 0.4819 - acc: 0.7433
37/102 [=========>....................] - ETA: 0s - loss: 0.4972 - acc: 0.7454
55/102 [===============>..............] - ETA: 0s - loss: 0.4855 - acc: 0.7502
71/102 [===================>..........] - ETA: 0s - loss: 0.4980 - acc: 0.7439
86/102 [========================>.....] - ETA: 0s - loss: 0.5059 - acc: 0.7419
97/102 [===========================>..] - ETA: 0s - loss: 0.5024 - acc: 0.7410
102/102 [==============================] - 0s 3ms/step - loss: 0.5027 - acc: 0.7422
102/102 [==============================] - 1s 6ms/step - loss: 0.5027 - acc: 0.7422 - val_loss: 0.4940 - val_acc: 0.7442
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.5740 - acc: 0.7200
16/102 [===>..........................] - ETA: 0s - loss: 0.5098 - acc: 0.7375
34/102 [=========>....................] - ETA: 0s - loss: 0.5001 - acc: 0.7241
51/102 [==============>...............] - ETA: 0s - loss: 0.4969 - acc: 0.7227
68/102 [===================>..........] - ETA: 0s - loss: 0.4868 - acc: 0.7412
86/102 [========================>.....] - ETA: 0s - loss: 0.4958 - acc: 0.7423
102/102 [==============================] - 0s 4ms/step - loss: 0.4970 - acc: 0.7398
102/102 [==============================] - 1s 5ms/step - loss: 0.4970 - acc: 0.7398 - val_loss: 0.4982 - val_acc: 0.7478
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.5067 - acc: 0.7400
17/102 [====>.........................] - ETA: 0s - loss: 0.5124 - acc: 0.7082
30/102 [=======>......................] - ETA: 0s - loss: 0.5054 - acc: 0.7213
47/102 [============>.................] - ETA: 0s - loss: 0.4955 - acc: 0.7366
63/102 [=================>............] - ETA: 0s - loss: 0.4985 - acc: 0.7435
80/102 [======================>.......] - ETA: 0s - loss: 0.4923 - acc: 0.7462
93/102 [==========================>...] - ETA: 0s - loss: 0.4970 - acc: 0.7439
102/102 [==============================] - 0s 4ms/step - loss: 0.4946 - acc: 0.7455
102/102 [==============================] - 1s 6ms/step - loss: 0.4946 - acc: 0.7455 - val_loss: 0.4873 - val_acc: 0.7513
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.6367 - acc: 0.7200
4/102 [>.............................] - ETA: 2s - loss: 0.5454 - acc: 0.7200
16/102 [===>..........................] - ETA: 0s - loss: 0.5088 - acc: 0.7387
34/102 [=========>....................] - ETA: 0s - loss: 0.5050 - acc: 0.7424
52/102 [==============>...............] - ETA: 0s - loss: 0.4976 - acc: 0.7465
67/102 [==================>...........] - ETA: 0s - loss: 0.4960 - acc: 0.7510
86/102 [========================>.....] - ETA: 0s - loss: 0.4911 - acc: 0.7533
102/102 [==============================] - 0s 4ms/step - loss: 0.4916 - acc: 0.7508
102/102 [==============================] - 1s 7ms/step - loss: 0.4916 - acc: 0.7508 - val_loss: 0.4880 - val_acc: 0.7513
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.4939 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.4991 - acc: 0.7456
37/102 [=========>....................] - ETA: 0s - loss: 0.4873 - acc: 0.7400
56/102 [===============>..............] - ETA: 0s - loss: 0.4919 - acc: 0.7389
73/102 [====================>.........] - ETA: 0s - loss: 0.4921 - acc: 0.7378
91/102 [=========================>....] - ETA: 0s - loss: 0.4934 - acc: 0.7400
102/102 [==============================] - 0s 3ms/step - loss: 0.4901 - acc: 0.7433
102/102 [==============================] - 1s 5ms/step - loss: 0.4901 - acc: 0.7433 - val_loss: 0.4957 - val_acc: 0.7442
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.4191 - acc: 0.8400
18/102 [====>.........................] - ETA: 0s - loss: 0.4682 - acc: 0.7644
37/102 [=========>....................] - ETA: 0s - loss: 0.4748 - acc: 0.7654
55/102 [===============>..............] - ETA: 0s - loss: 0.4816 - acc: 0.7578
72/102 [====================>.........] - ETA: 0s - loss: 0.4748 - acc: 0.7636
88/102 [========================>.....] - ETA: 0s - loss: 0.4798 - acc: 0.7580
102/102 [==============================] - 0s 3ms/step - loss: 0.4837 - acc: 0.7583
102/102 [==============================] - 1s 5ms/step - loss: 0.4837 - acc: 0.7583 - val_loss: 0.5015 - val_acc: 0.7496
Epoch 11/30
1/102 [..............................] - ETA: 1s - loss: 0.5204 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.4802 - acc: 0.7365
32/102 [========>.....................] - ETA: 0s - loss: 0.4828 - acc: 0.7387
49/102 [=============>................] - ETA: 0s - loss: 0.4718 - acc: 0.7486
66/102 [==================>...........] - ETA: 0s - loss: 0.4789 - acc: 0.7509
83/102 [=======================>......] - ETA: 0s - loss: 0.4836 - acc: 0.7477
101/102 [============================>.] - ETA: 0s - loss: 0.4904 - acc: 0.7448
102/102 [==============================] - 0s 3ms/step - loss: 0.4905 - acc: 0.7447
102/102 [==============================] - 1s 7ms/step - loss: 0.4905 - acc: 0.7447 - val_loss: 0.4910 - val_acc: 0.7442
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.4245 - acc: 0.7000
18/102 [====>.........................] - ETA: 0s - loss: 0.4999 - acc: 0.7633
35/102 [=========>....................] - ETA: 0s - loss: 0.4949 - acc: 0.7531
50/102 [=============>................] - ETA: 0s - loss: 0.4776 - acc: 0.7588
67/102 [==================>...........] - ETA: 0s - loss: 0.4864 - acc: 0.7555
82/102 [=======================>......] - ETA: 0s - loss: 0.4877 - acc: 0.7522
100/102 [============================>.] - ETA: 0s - loss: 0.4867 - acc: 0.7476
102/102 [==============================] - 0s 3ms/step - loss: 0.4868 - acc: 0.7475
102/102 [==============================] - 1s 6ms/step - loss: 0.4868 - acc: 0.7475 - val_loss: 0.4822 - val_acc: 0.7549
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.4455 - acc: 0.8200
17/102 [====>.........................] - ETA: 0s - loss: 0.4737 - acc: 0.7600
35/102 [=========>....................] - ETA: 0s - loss: 0.4854 - acc: 0.7537
50/102 [=============>................] - ETA: 0s - loss: 0.4819 - acc: 0.7548
68/102 [===================>..........] - ETA: 0s - loss: 0.4830 - acc: 0.7547
84/102 [=======================>......] - ETA: 0s - loss: 0.4864 - acc: 0.7512
101/102 [============================>.] - ETA: 0s - loss: 0.4865 - acc: 0.7495
102/102 [==============================] - 0s 3ms/step - loss: 0.4868 - acc: 0.7493
102/102 [==============================] - 1s 6ms/step - loss: 0.4868 - acc: 0.7493 - val_loss: 0.4888 - val_acc: 0.7478
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.3583 - acc: 0.8600
15/102 [===>..........................] - ETA: 0s - loss: 0.5029 - acc: 0.7480
19/102 [====>.........................] - ETA: 0s - loss: 0.5021 - acc: 0.7516
37/102 [=========>....................] - ETA: 0s - loss: 0.4911 - acc: 0.7497
51/102 [==============>...............] - ETA: 0s - loss: 0.4848 - acc: 0.7557
68/102 [===================>..........] - ETA: 0s - loss: 0.4852 - acc: 0.7515
85/102 [========================>.....] - ETA: 0s - loss: 0.4841 - acc: 0.7529
101/102 [============================>.] - ETA: 0s - loss: 0.4831 - acc: 0.7531
102/102 [==============================] - 0s 4ms/step - loss: 0.4831 - acc: 0.7530
102/102 [==============================] - 1s 7ms/step - loss: 0.4831 - acc: 0.7530 - val_loss: 0.4790 - val_acc: 0.7709
Run completed: runs/2024-05-06T19-49-23Z
Training run 48/52 (flags = list(32, 32, 0.001, 20, 30, "relu", "tanh", 0.2, 0.5))
Using run directory runs/2024-05-06T19-49-35Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 5:02 - loss: 0.7635 - acc: 0.3500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0291s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0291s). Check your callbacks.
16/254 [>.............................] - ETA: 0s - loss: 0.7108 - acc: 0.5219
35/254 [===>..........................] - ETA: 0s - loss: 0.6745 - acc: 0.5814
54/254 [=====>........................] - ETA: 0s - loss: 0.6566 - acc: 0.6111
64/254 [======>.......................] - ETA: 0s - loss: 0.6360 - acc: 0.6234
77/254 [========>.....................] - ETA: 0s - loss: 0.6243 - acc: 0.6338
91/254 [=========>....................] - ETA: 0s - loss: 0.6139 - acc: 0.6451
109/254 [===========>..................] - ETA: 0s - loss: 0.6058 - acc: 0.6569
126/254 [=============>................] - ETA: 0s - loss: 0.6009 - acc: 0.6647
144/254 [================>.............] - ETA: 0s - loss: 0.5910 - acc: 0.6740
161/254 [==================>...........] - ETA: 0s - loss: 0.5826 - acc: 0.6817
180/254 [====================>.........] - ETA: 0s - loss: 0.5728 - acc: 0.6869
198/254 [======================>.......] - ETA: 0s - loss: 0.5724 - acc: 0.6909
216/254 [========================>.....] - ETA: 0s - loss: 0.5708 - acc: 0.6914
233/254 [==========================>...] - ETA: 0s - loss: 0.5727 - acc: 0.6916
251/254 [============================>.] - ETA: 0s - loss: 0.5636 - acc: 0.6966
254/254 [==============================] - 2s 3ms/step - loss: 0.5640 - acc: 0.6966
254/254 [==============================] - 3s 6ms/step - loss: 0.5640 - acc: 0.6966 - val_loss: 0.4597 - val_acc: 0.7780
Epoch 2/30
1/254 [..............................] - ETA: 1s - loss: 0.4057 - acc: 0.8500
16/254 [>.............................] - ETA: 0s - loss: 0.5074 - acc: 0.7750
29/254 [==>...........................] - ETA: 0s - loss: 0.4916 - acc: 0.7638
41/254 [===>..........................] - ETA: 0s - loss: 0.4996 - acc: 0.7561
54/254 [=====>........................] - ETA: 0s - loss: 0.5119 - acc: 0.7481
73/254 [=======>......................] - ETA: 0s - loss: 0.5091 - acc: 0.7425
86/254 [=========>....................] - ETA: 0s - loss: 0.5039 - acc: 0.7424
103/254 [===========>..................] - ETA: 0s - loss: 0.5065 - acc: 0.7456
119/254 [=============>................] - ETA: 0s - loss: 0.5036 - acc: 0.7475
129/254 [==============>...............] - ETA: 0s - loss: 0.5043 - acc: 0.7457
135/254 [==============>...............] - ETA: 0s - loss: 0.5030 - acc: 0.7456
139/254 [===============>..............] - ETA: 0s - loss: 0.5029 - acc: 0.7468
152/254 [================>.............] - ETA: 0s - loss: 0.5021 - acc: 0.7487
170/254 [===================>..........] - ETA: 0s - loss: 0.5039 - acc: 0.7497
188/254 [=====================>........] - ETA: 0s - loss: 0.5010 - acc: 0.7516
197/254 [======================>.......] - ETA: 0s - loss: 0.5047 - acc: 0.7495
212/254 [========================>.....] - ETA: 0s - loss: 0.5070 - acc: 0.7493
225/254 [=========================>....] - ETA: 0s - loss: 0.5083 - acc: 0.7478
238/254 [===========================>..] - ETA: 0s - loss: 0.5108 - acc: 0.7477
246/254 [============================>.] - ETA: 0s - loss: 0.5131 - acc: 0.7455
254/254 [==============================] - 1s 4ms/step - loss: 0.5144 - acc: 0.7435
254/254 [==============================] - 1s 6ms/step - loss: 0.5144 - acc: 0.7435 - val_loss: 0.4951 - val_acc: 0.7478
Epoch 3/30
1/254 [..............................] - ETA: 0s - loss: 0.5646 - acc: 0.6000
11/254 [>.............................] - ETA: 1s - loss: 0.4351 - acc: 0.7773
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254/254 [==============================] - 1s 4ms/step - loss: 0.5024 - acc: 0.7382
254/254 [==============================] - 2s 8ms/step - loss: 0.5024 - acc: 0.7382 - val_loss: 0.4833 - val_acc: 0.7638
Epoch 4/30
1/254 [..............................] - ETA: 0s - loss: 0.4818 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4847 - acc: 0.7694
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253/254 [============================>.] - ETA: 0s - loss: 0.4996 - acc: 0.7549
254/254 [==============================] - 1s 4ms/step - loss: 0.4995 - acc: 0.7548
254/254 [==============================] - 2s 7ms/step - loss: 0.4995 - acc: 0.7548 - val_loss: 0.4943 - val_acc: 0.7496
Epoch 5/30
1/254 [..............................] - ETA: 0s - loss: 0.4230 - acc: 0.5500
19/254 [=>............................] - ETA: 0s - loss: 0.5375 - acc: 0.7237
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254/254 [==============================] - 1s 4ms/step - loss: 0.4838 - acc: 0.7538
254/254 [==============================] - 2s 6ms/step - loss: 0.4838 - acc: 0.7538 - val_loss: 0.4952 - val_acc: 0.7442
Epoch 6/30
1/254 [..............................] - ETA: 0s - loss: 0.3411 - acc: 0.7000
12/254 [>.............................] - ETA: 1s - loss: 0.4701 - acc: 0.7167
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254/254 [==============================] - 1s 4ms/step - loss: 0.4945 - acc: 0.7426
254/254 [==============================] - 2s 7ms/step - loss: 0.4945 - acc: 0.7426 - val_loss: 0.4977 - val_acc: 0.7442
Epoch 7/30
1/254 [..............................] - ETA: 1s - loss: 0.4001 - acc: 0.6500
17/254 [=>............................] - ETA: 0s - loss: 0.4712 - acc: 0.7412
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254/254 [==============================] - 1s 4ms/step - loss: 0.4869 - acc: 0.7524
254/254 [==============================] - 2s 7ms/step - loss: 0.4869 - acc: 0.7524 - val_loss: 0.4826 - val_acc: 0.7584
Epoch 8/30
1/254 [..............................] - ETA: 1s - loss: 0.5314 - acc: 0.8000
19/254 [=>............................] - ETA: 0s - loss: 0.4626 - acc: 0.7526
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254/254 [==============================] - 1s 3ms/step - loss: 0.4863 - acc: 0.7493
254/254 [==============================] - 1s 5ms/step - loss: 0.4863 - acc: 0.7493 - val_loss: 0.4907 - val_acc: 0.7407
Epoch 9/30
1/254 [..............................] - ETA: 0s - loss: 0.4157 - acc: 0.8000
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248/254 [============================>.] - ETA: 0s - loss: 0.4756 - acc: 0.7536
254/254 [==============================] - 1s 3ms/step - loss: 0.4780 - acc: 0.7532
254/254 [==============================] - 1s 4ms/step - loss: 0.4780 - acc: 0.7532 - val_loss: 0.4899 - val_acc: 0.7602
Epoch 10/30
1/254 [..............................] - ETA: 0s - loss: 0.4061 - acc: 0.7500
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248/254 [============================>.] - ETA: 0s - loss: 0.4839 - acc: 0.7470
254/254 [==============================] - 1s 3ms/step - loss: 0.4822 - acc: 0.7479
254/254 [==============================] - 1s 4ms/step - loss: 0.4822 - acc: 0.7479 - val_loss: 0.4796 - val_acc: 0.7620
Epoch 11/30
1/254 [..............................] - ETA: 0s - loss: 0.4658 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.4785 - acc: 0.7722
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238/254 [===========================>..] - ETA: 0s - loss: 0.4716 - acc: 0.7653
254/254 [==============================] - 1s 3ms/step - loss: 0.4702 - acc: 0.7662
254/254 [==============================] - 1s 4ms/step - loss: 0.4702 - acc: 0.7662 - val_loss: 0.4811 - val_acc: 0.7726
Run completed: runs/2024-05-06T19-49-35Z
Training run 49/52 (flags = list(32, 16, 0.01, 20, 50, "relu", "tanh", 0.2, 0.5))
Using run directory runs/2024-05-06T19-49-53Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:05 - loss: 0.5304 - acc: 0.7500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0289s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0289s). Check your callbacks.
16/254 [>.............................] - ETA: 0s - loss: 0.8322 - acc: 0.6313
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242/254 [===========================>..] - ETA: 0s - loss: 0.5994 - acc: 0.6866
254/254 [==============================] - 2s 3ms/step - loss: 0.5968 - acc: 0.6874
254/254 [==============================] - 3s 7ms/step - loss: 0.5968 - acc: 0.6874 - val_loss: 0.4683 - val_acc: 0.7833
Epoch 2/50
1/254 [..............................] - ETA: 1s - loss: 0.5683 - acc: 0.8500
17/254 [=>............................] - ETA: 0s - loss: 0.4993 - acc: 0.7647
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244/254 [===========================>..] - ETA: 0s - loss: 0.5265 - acc: 0.7363
254/254 [==============================] - 1s 3ms/step - loss: 0.5251 - acc: 0.7370
254/254 [==============================] - 1s 4ms/step - loss: 0.5251 - acc: 0.7370 - val_loss: 0.4774 - val_acc: 0.7691
Epoch 3/50
1/254 [..............................] - ETA: 1s - loss: 0.9088 - acc: 0.5000
19/254 [=>............................] - ETA: 0s - loss: 0.5472 - acc: 0.7289
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254/254 [==============================] - 1s 3ms/step - loss: 0.5089 - acc: 0.7388
254/254 [==============================] - 1s 5ms/step - loss: 0.5089 - acc: 0.7388 - val_loss: 0.4712 - val_acc: 0.7620
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 0.4313 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.5691 - acc: 0.7059
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254/254 [==============================] - 1s 3ms/step - loss: 0.4995 - acc: 0.7439
254/254 [==============================] - 1s 4ms/step - loss: 0.4995 - acc: 0.7439 - val_loss: 0.4754 - val_acc: 0.7673
Epoch 5/50
1/254 [..............................] - ETA: 0s - loss: 0.5027 - acc: 0.8000
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250/254 [============================>.] - ETA: 0s - loss: 0.4994 - acc: 0.7516
254/254 [==============================] - 1s 4ms/step - loss: 0.5005 - acc: 0.7504
254/254 [==============================] - 1s 5ms/step - loss: 0.5005 - acc: 0.7504 - val_loss: 0.4779 - val_acc: 0.7620
Epoch 6/50
1/254 [..............................] - ETA: 0s - loss: 0.4021 - acc: 0.9500
18/254 [=>............................] - ETA: 0s - loss: 0.4932 - acc: 0.7639
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253/254 [============================>.] - ETA: 0s - loss: 0.4974 - acc: 0.7500
254/254 [==============================] - 1s 3ms/step - loss: 0.4976 - acc: 0.7497
254/254 [==============================] - 1s 4ms/step - loss: 0.4976 - acc: 0.7497 - val_loss: 0.4800 - val_acc: 0.7655
Epoch 7/50
1/254 [..............................] - ETA: 1s - loss: 0.3574 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4657 - acc: 0.7639
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252/254 [============================>.] - ETA: 0s - loss: 0.4888 - acc: 0.7563
254/254 [==============================] - 1s 3ms/step - loss: 0.4885 - acc: 0.7564
254/254 [==============================] - 1s 4ms/step - loss: 0.4885 - acc: 0.7564 - val_loss: 0.4914 - val_acc: 0.7567
Epoch 8/50
1/254 [..............................] - ETA: 1s - loss: 0.4631 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.4825 - acc: 0.7441
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254/254 [==============================] - 1s 4ms/step - loss: 0.4898 - acc: 0.7524
254/254 [==============================] - 1s 5ms/step - loss: 0.4898 - acc: 0.7524 - val_loss: 0.4719 - val_acc: 0.7709
Epoch 9/50
1/254 [..............................] - ETA: 0s - loss: 0.4918 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4436 - acc: 0.7868
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254/254 [==============================] - 1s 3ms/step - loss: 0.4859 - acc: 0.7548
254/254 [==============================] - 1s 4ms/step - loss: 0.4859 - acc: 0.7548 - val_loss: 0.4857 - val_acc: 0.7531
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.4444 - acc: 0.9000
19/254 [=>............................] - ETA: 0s - loss: 0.4139 - acc: 0.7868
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254/254 [==============================] - 1s 3ms/step - loss: 0.4827 - acc: 0.7526
254/254 [==============================] - 1s 4ms/step - loss: 0.4827 - acc: 0.7526 - val_loss: 0.4960 - val_acc: 0.7407
Epoch 11/50
1/254 [..............................] - ETA: 1s - loss: 0.3087 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4757 - acc: 0.7556
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254/254 [==============================] - 1s 3ms/step - loss: 0.4790 - acc: 0.7652
254/254 [==============================] - 1s 4ms/step - loss: 0.4790 - acc: 0.7652 - val_loss: 0.4949 - val_acc: 0.7371
Run completed: runs/2024-05-06T19-49-53Z
Training run 50/52 (flags = list(64, 64, 0.01, 20, 30, "sigmoid", "sigmoid", 0.5, 0.5))
Using run directory runs/2024-05-06T19-50-08Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/254 [..............................] - ETA: 5:07 - loss: 0.8279 - acc: 0.6500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0293s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0016s vs `on_train_batch_end` time: 0.0293s). Check your callbacks.
18/254 [=>............................] - ETA: 0s - loss: 0.8094 - acc: 0.5722
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238/254 [===========================>..] - ETA: 0s - loss: 0.6745 - acc: 0.5996
254/254 [==============================] - 2s 3ms/step - loss: 0.6686 - acc: 0.6012
254/254 [==============================] - 3s 7ms/step - loss: 0.6686 - acc: 0.6012 - val_loss: 0.5570 - val_acc: 0.7211
Epoch 2/30
1/254 [..............................] - ETA: 0s - loss: 0.5864 - acc: 0.7000
14/254 [>.............................] - ETA: 1s - loss: 0.5962 - acc: 0.6571
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254/254 [==============================] - 1s 4ms/step - loss: 0.5538 - acc: 0.7207
254/254 [==============================] - 1s 5ms/step - loss: 0.5538 - acc: 0.7207 - val_loss: 0.5106 - val_acc: 0.7496
Epoch 3/30
1/254 [..............................] - ETA: 0s - loss: 0.6751 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.6010 - acc: 0.7028
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251/254 [============================>.] - ETA: 0s - loss: 0.5239 - acc: 0.7351
254/254 [==============================] - 1s 3ms/step - loss: 0.5245 - acc: 0.7345
254/254 [==============================] - 1s 4ms/step - loss: 0.5245 - acc: 0.7345 - val_loss: 0.4914 - val_acc: 0.7673
Epoch 4/30
1/254 [..............................] - ETA: 0s - loss: 0.3509 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4752 - acc: 0.7806
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252/254 [============================>.] - ETA: 0s - loss: 0.5146 - acc: 0.7389
254/254 [==============================] - 1s 4ms/step - loss: 0.5147 - acc: 0.7392
254/254 [==============================] - 1s 5ms/step - loss: 0.5147 - acc: 0.7392 - val_loss: 0.4791 - val_acc: 0.7638
Epoch 5/30
1/254 [..............................] - ETA: 1s - loss: 0.5813 - acc: 0.6500
13/254 [>.............................] - ETA: 1s - loss: 0.5177 - acc: 0.7269
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254/254 [==============================] - 1s 3ms/step - loss: 0.5153 - acc: 0.7353
254/254 [==============================] - 1s 4ms/step - loss: 0.5153 - acc: 0.7353 - val_loss: 0.4763 - val_acc: 0.7691
Epoch 6/30
1/254 [..............................] - ETA: 1s - loss: 0.3161 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4870 - acc: 0.7528
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121/254 [=============>................] - ETA: 0s - loss: 0.5013 - acc: 0.7409
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156/254 [=================>............] - ETA: 0s - loss: 0.5031 - acc: 0.7474
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242/254 [===========================>..] - ETA: 0s - loss: 0.5116 - acc: 0.7376
251/254 [============================>.] - ETA: 0s - loss: 0.5110 - acc: 0.7384
254/254 [==============================] - 1s 3ms/step - loss: 0.5115 - acc: 0.7386
254/254 [==============================] - 1s 4ms/step - loss: 0.5115 - acc: 0.7386 - val_loss: 0.4952 - val_acc: 0.7513
Epoch 7/30
1/254 [..............................] - ETA: 0s - loss: 0.7750 - acc: 0.6000
17/254 [=>............................] - ETA: 0s - loss: 0.5696 - acc: 0.6735
30/254 [==>...........................] - ETA: 0s - loss: 0.5214 - acc: 0.7167
34/254 [===>..........................] - ETA: 1s - loss: 0.5150 - acc: 0.7147
52/254 [=====>........................] - ETA: 0s - loss: 0.5248 - acc: 0.7173
70/254 [=======>......................] - ETA: 0s - loss: 0.5192 - acc: 0.7243
84/254 [========>.....................] - ETA: 0s - loss: 0.5164 - acc: 0.7280
100/254 [==========>...................] - ETA: 0s - loss: 0.5157 - acc: 0.7310
117/254 [============>.................] - ETA: 0s - loss: 0.5177 - acc: 0.7282
134/254 [==============>...............] - ETA: 0s - loss: 0.5108 - acc: 0.7366
151/254 [================>.............] - ETA: 0s - loss: 0.5133 - acc: 0.7354
169/254 [==================>...........] - ETA: 0s - loss: 0.5153 - acc: 0.7337
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203/254 [======================>.......] - ETA: 0s - loss: 0.5160 - acc: 0.7365
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246/254 [============================>.] - ETA: 0s - loss: 0.5123 - acc: 0.7378
254/254 [==============================] - 1s 3ms/step - loss: 0.5110 - acc: 0.7382
254/254 [==============================] - 1s 4ms/step - loss: 0.5110 - acc: 0.7382 - val_loss: 0.4799 - val_acc: 0.7620
Epoch 8/30
1/254 [..............................] - ETA: 1s - loss: 0.3944 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.5155 - acc: 0.7722
37/254 [===>..........................] - ETA: 0s - loss: 0.5273 - acc: 0.7446
55/254 [=====>........................] - ETA: 0s - loss: 0.5305 - acc: 0.7427
71/254 [=======>......................] - ETA: 0s - loss: 0.5299 - acc: 0.7317
88/254 [=========>....................] - ETA: 0s - loss: 0.5266 - acc: 0.7312
106/254 [===========>..................] - ETA: 0s - loss: 0.5174 - acc: 0.7368
123/254 [=============>................] - ETA: 0s - loss: 0.5117 - acc: 0.7378
141/254 [===============>..............] - ETA: 0s - loss: 0.5160 - acc: 0.7333
159/254 [=================>............] - ETA: 0s - loss: 0.5074 - acc: 0.7387
176/254 [===================>..........] - ETA: 0s - loss: 0.5091 - acc: 0.7392
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209/254 [=======================>......] - ETA: 0s - loss: 0.5094 - acc: 0.7380
226/254 [=========================>....] - ETA: 0s - loss: 0.5071 - acc: 0.7396
242/254 [===========================>..] - ETA: 0s - loss: 0.5021 - acc: 0.7419
254/254 [==============================] - 1s 3ms/step - loss: 0.5048 - acc: 0.7426
254/254 [==============================] - 1s 4ms/step - loss: 0.5048 - acc: 0.7426 - val_loss: 0.4828 - val_acc: 0.7638
Epoch 9/30
1/254 [..............................] - ETA: 1s - loss: 0.4602 - acc: 0.7500
16/254 [>.............................] - ETA: 0s - loss: 0.4932 - acc: 0.7500
33/254 [==>...........................] - ETA: 0s - loss: 0.5069 - acc: 0.7288
50/254 [====>.........................] - ETA: 0s - loss: 0.5155 - acc: 0.7270
67/254 [======>.......................] - ETA: 0s - loss: 0.5108 - acc: 0.7299
84/254 [========>.....................] - ETA: 0s - loss: 0.4988 - acc: 0.7387
101/254 [==========>...................] - ETA: 0s - loss: 0.5001 - acc: 0.7381
117/254 [============>.................] - ETA: 0s - loss: 0.5033 - acc: 0.7385
121/254 [=============>................] - ETA: 0s - loss: 0.5053 - acc: 0.7384
139/254 [===============>..............] - ETA: 0s - loss: 0.5033 - acc: 0.7374
151/254 [================>.............] - ETA: 0s - loss: 0.5075 - acc: 0.7354
167/254 [==================>...........] - ETA: 0s - loss: 0.5029 - acc: 0.7374
182/254 [====================>.........] - ETA: 0s - loss: 0.5053 - acc: 0.7385
194/254 [=====================>........] - ETA: 0s - loss: 0.5056 - acc: 0.7397
209/254 [=======================>......] - ETA: 0s - loss: 0.5036 - acc: 0.7395
216/254 [========================>.....] - ETA: 0s - loss: 0.5028 - acc: 0.7398
231/254 [==========================>...] - ETA: 0s - loss: 0.5066 - acc: 0.7396
248/254 [============================>.] - ETA: 0s - loss: 0.5080 - acc: 0.7377
254/254 [==============================] - 1s 4ms/step - loss: 0.5047 - acc: 0.7386
254/254 [==============================] - 1s 5ms/step - loss: 0.5047 - acc: 0.7386 - val_loss: 0.4865 - val_acc: 0.7602
Epoch 10/30
1/254 [..............................] - ETA: 0s - loss: 0.9152 - acc: 0.6000
16/254 [>.............................] - ETA: 0s - loss: 0.5714 - acc: 0.7500
32/254 [==>...........................] - ETA: 0s - loss: 0.5425 - acc: 0.7297
50/254 [====>.........................] - ETA: 0s - loss: 0.5055 - acc: 0.7400
68/254 [=======>......................] - ETA: 0s - loss: 0.5015 - acc: 0.7397
84/254 [========>.....................] - ETA: 0s - loss: 0.5062 - acc: 0.7345
102/254 [===========>..................] - ETA: 0s - loss: 0.5040 - acc: 0.7319
115/254 [============>.................] - ETA: 0s - loss: 0.5000 - acc: 0.7339
127/254 [==============>...............] - ETA: 0s - loss: 0.5050 - acc: 0.7335
143/254 [===============>..............] - ETA: 0s - loss: 0.5033 - acc: 0.7336
162/254 [==================>...........] - ETA: 0s - loss: 0.5017 - acc: 0.7377
179/254 [====================>.........] - ETA: 0s - loss: 0.5000 - acc: 0.7408
195/254 [======================>.......] - ETA: 0s - loss: 0.4989 - acc: 0.7413
210/254 [=======================>......] - ETA: 0s - loss: 0.4973 - acc: 0.7436
225/254 [=========================>....] - ETA: 0s - loss: 0.5003 - acc: 0.7416
242/254 [===========================>..] - ETA: 0s - loss: 0.5013 - acc: 0.7413
254/254 [==============================] - 1s 3ms/step - loss: 0.5011 - acc: 0.7404
254/254 [==============================] - 1s 4ms/step - loss: 0.5011 - acc: 0.7404 - val_loss: 0.4776 - val_acc: 0.7655
Epoch 11/30
1/254 [..............................] - ETA: 0s - loss: 0.4425 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5282 - acc: 0.7194
36/254 [===>..........................] - ETA: 0s - loss: 0.4961 - acc: 0.7444
53/254 [=====>........................] - ETA: 0s - loss: 0.4836 - acc: 0.7425
71/254 [=======>......................] - ETA: 0s - loss: 0.4967 - acc: 0.7408
88/254 [=========>....................] - ETA: 0s - loss: 0.5017 - acc: 0.7381
105/254 [===========>..................] - ETA: 0s - loss: 0.4996 - acc: 0.7376
122/254 [=============>................] - ETA: 0s - loss: 0.5029 - acc: 0.7336
139/254 [===============>..............] - ETA: 0s - loss: 0.4986 - acc: 0.7374
155/254 [=================>............] - ETA: 0s - loss: 0.4931 - acc: 0.7423
172/254 [===================>..........] - ETA: 0s - loss: 0.4928 - acc: 0.7433
190/254 [=====================>........] - ETA: 0s - loss: 0.4976 - acc: 0.7426
208/254 [=======================>......] - ETA: 0s - loss: 0.4996 - acc: 0.7411
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234/254 [==========================>...] - ETA: 0s - loss: 0.4996 - acc: 0.7421
248/254 [============================>.] - ETA: 0s - loss: 0.5001 - acc: 0.7397
254/254 [==============================] - 1s 4ms/step - loss: 0.4999 - acc: 0.7408
254/254 [==============================] - 1s 5ms/step - loss: 0.4999 - acc: 0.7408 - val_loss: 0.4853 - val_acc: 0.7567
Epoch 12/30
1/254 [..............................] - ETA: 1s - loss: 0.4423 - acc: 0.8500
15/254 [>.............................] - ETA: 0s - loss: 0.5137 - acc: 0.7433
32/254 [==>...........................] - ETA: 0s - loss: 0.5033 - acc: 0.7594
48/254 [====>.........................] - ETA: 0s - loss: 0.5014 - acc: 0.7583
62/254 [======>.......................] - ETA: 0s - loss: 0.4898 - acc: 0.7565
81/254 [========>.....................] - ETA: 0s - loss: 0.4995 - acc: 0.7537
91/254 [=========>....................] - ETA: 0s - loss: 0.4918 - acc: 0.7538
107/254 [===========>..................] - ETA: 0s - loss: 0.4947 - acc: 0.7514
124/254 [=============>................] - ETA: 0s - loss: 0.4933 - acc: 0.7496
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158/254 [=================>............] - ETA: 0s - loss: 0.4896 - acc: 0.7557
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190/254 [=====================>........] - ETA: 0s - loss: 0.4923 - acc: 0.7513
206/254 [=======================>......] - ETA: 0s - loss: 0.4983 - acc: 0.7456
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241/254 [===========================>..] - ETA: 0s - loss: 0.4953 - acc: 0.7488
254/254 [==============================] - 1s 3ms/step - loss: 0.5000 - acc: 0.7489
254/254 [==============================] - 1s 4ms/step - loss: 0.5000 - acc: 0.7489 - val_loss: 0.4900 - val_acc: 0.7549
Epoch 13/30
1/254 [..............................] - ETA: 1s - loss: 0.3484 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.5240 - acc: 0.7206
30/254 [==>...........................] - ETA: 0s - loss: 0.5152 - acc: 0.7200
41/254 [===>..........................] - ETA: 0s - loss: 0.4968 - acc: 0.7329
49/254 [====>.........................] - ETA: 0s - loss: 0.4871 - acc: 0.7398
65/254 [======>.......................] - ETA: 0s - loss: 0.4969 - acc: 0.7423
81/254 [========>.....................] - ETA: 0s - loss: 0.4971 - acc: 0.7451
95/254 [==========>...................] - ETA: 0s - loss: 0.4938 - acc: 0.7526
111/254 [============>.................] - ETA: 0s - loss: 0.4929 - acc: 0.7541
128/254 [==============>...............] - ETA: 0s - loss: 0.4947 - acc: 0.7523
144/254 [================>.............] - ETA: 0s - loss: 0.4929 - acc: 0.7483
162/254 [==================>...........] - ETA: 0s - loss: 0.4931 - acc: 0.7475
178/254 [====================>.........] - ETA: 0s - loss: 0.4908 - acc: 0.7494
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213/254 [========================>.....] - ETA: 0s - loss: 0.4955 - acc: 0.7484
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248/254 [============================>.] - ETA: 0s - loss: 0.4939 - acc: 0.7466
254/254 [==============================] - 1s 3ms/step - loss: 0.4930 - acc: 0.7465
254/254 [==============================] - 1s 4ms/step - loss: 0.4930 - acc: 0.7465 - val_loss: 0.4671 - val_acc: 0.7655
Epoch 14/30
1/254 [..............................] - ETA: 0s - loss: 0.4295 - acc: 0.9000
6/254 [..............................] - ETA: 4s - loss: 0.6074 - acc: 0.7833
21/254 [=>............................] - ETA: 1s - loss: 0.4972 - acc: 0.7905
25/254 [=>............................] - ETA: 1s - loss: 0.5023 - acc: 0.7780
35/254 [===>..........................] - ETA: 1s - loss: 0.5073 - acc: 0.7629
45/254 [====>.........................] - ETA: 1s - loss: 0.4918 - acc: 0.7622
61/254 [======>.......................] - ETA: 1s - loss: 0.4876 - acc: 0.7615
79/254 [========>.....................] - ETA: 0s - loss: 0.4790 - acc: 0.7627
97/254 [==========>...................] - ETA: 0s - loss: 0.4678 - acc: 0.7691
112/254 [============>.................] - ETA: 0s - loss: 0.4755 - acc: 0.7616
129/254 [==============>...............] - ETA: 0s - loss: 0.4777 - acc: 0.7616
146/254 [================>.............] - ETA: 0s - loss: 0.4853 - acc: 0.7589
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217/254 [========================>.....] - ETA: 0s - loss: 0.4978 - acc: 0.7505
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250/254 [============================>.] - ETA: 0s - loss: 0.4980 - acc: 0.7496
254/254 [==============================] - 1s 4ms/step - loss: 0.4975 - acc: 0.7500
254/254 [==============================] - 1s 5ms/step - loss: 0.4975 - acc: 0.7500 - val_loss: 0.4841 - val_acc: 0.7602
Epoch 15/30
1/254 [..............................] - ETA: 0s - loss: 0.3530 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.5312 - acc: 0.7333
36/254 [===>..........................] - ETA: 0s - loss: 0.5198 - acc: 0.7222
53/254 [=====>........................] - ETA: 0s - loss: 0.5238 - acc: 0.7245
70/254 [=======>......................] - ETA: 0s - loss: 0.5203 - acc: 0.7214
87/254 [=========>....................] - ETA: 0s - loss: 0.5184 - acc: 0.7287
105/254 [===========>..................] - ETA: 0s - loss: 0.5173 - acc: 0.7310
121/254 [=============>................] - ETA: 0s - loss: 0.5098 - acc: 0.7339
138/254 [===============>..............] - ETA: 0s - loss: 0.5126 - acc: 0.7359
154/254 [=================>............] - ETA: 0s - loss: 0.5128 - acc: 0.7351
168/254 [==================>...........] - ETA: 0s - loss: 0.5102 - acc: 0.7351
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238/254 [===========================>..] - ETA: 0s - loss: 0.5016 - acc: 0.7399
254/254 [==============================] - 1s 3ms/step - loss: 0.4953 - acc: 0.7447
254/254 [==============================] - 1s 4ms/step - loss: 0.4953 - acc: 0.7447 - val_loss: 0.4638 - val_acc: 0.7691
Epoch 16/30
1/254 [..............................] - ETA: 0s - loss: 0.2866 - acc: 0.9500
18/254 [=>............................] - ETA: 0s - loss: 0.4450 - acc: 0.7833
36/254 [===>..........................] - ETA: 0s - loss: 0.4658 - acc: 0.7597
52/254 [=====>........................] - ETA: 0s - loss: 0.4647 - acc: 0.7577
60/254 [======>.......................] - ETA: 0s - loss: 0.4714 - acc: 0.7542
76/254 [=======>......................] - ETA: 0s - loss: 0.4831 - acc: 0.7572
93/254 [=========>....................] - ETA: 0s - loss: 0.4802 - acc: 0.7602
110/254 [===========>..................] - ETA: 0s - loss: 0.4880 - acc: 0.7555
119/254 [=============>................] - ETA: 0s - loss: 0.4939 - acc: 0.7529
123/254 [=============>................] - ETA: 0s - loss: 0.4986 - acc: 0.7492
140/254 [===============>..............] - ETA: 0s - loss: 0.4965 - acc: 0.7486
158/254 [=================>............] - ETA: 0s - loss: 0.4965 - acc: 0.7500
170/254 [===================>..........] - ETA: 0s - loss: 0.4967 - acc: 0.7497
188/254 [=====================>........] - ETA: 0s - loss: 0.4951 - acc: 0.7511
206/254 [=======================>......] - ETA: 0s - loss: 0.4988 - acc: 0.7427
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252/254 [============================>.] - ETA: 0s - loss: 0.4910 - acc: 0.7488
254/254 [==============================] - 1s 4ms/step - loss: 0.4913 - acc: 0.7489
254/254 [==============================] - 1s 5ms/step - loss: 0.4913 - acc: 0.7489 - val_loss: 0.4676 - val_acc: 0.7691
Epoch 17/30
1/254 [..............................] - ETA: 0s - loss: 0.4165 - acc: 0.7500
17/254 [=>............................] - ETA: 0s - loss: 0.4443 - acc: 0.7735
35/254 [===>..........................] - ETA: 0s - loss: 0.4494 - acc: 0.7686
51/254 [=====>........................] - ETA: 0s - loss: 0.4710 - acc: 0.7725
68/254 [=======>......................] - ETA: 0s - loss: 0.4739 - acc: 0.7750
85/254 [=========>....................] - ETA: 0s - loss: 0.4875 - acc: 0.7641
103/254 [===========>..................] - ETA: 0s - loss: 0.4836 - acc: 0.7641
120/254 [=============>................] - ETA: 0s - loss: 0.4828 - acc: 0.7633
138/254 [===============>..............] - ETA: 0s - loss: 0.4894 - acc: 0.7591
155/254 [=================>............] - ETA: 0s - loss: 0.4889 - acc: 0.7574
173/254 [===================>..........] - ETA: 0s - loss: 0.4921 - acc: 0.7546
191/254 [=====================>........] - ETA: 0s - loss: 0.4916 - acc: 0.7542
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240/254 [===========================>..] - ETA: 0s - loss: 0.4891 - acc: 0.7525
254/254 [==============================] - 1s 3ms/step - loss: 0.4919 - acc: 0.7493
254/254 [==============================] - 1s 4ms/step - loss: 0.4919 - acc: 0.7493 - val_loss: 0.4775 - val_acc: 0.7602
Epoch 18/30
1/254 [..............................] - ETA: 0s - loss: 0.4470 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.4744 - acc: 0.7647
32/254 [==>...........................] - ETA: 0s - loss: 0.4728 - acc: 0.7641
49/254 [====>.........................] - ETA: 0s - loss: 0.4814 - acc: 0.7541
67/254 [======>.......................] - ETA: 0s - loss: 0.4919 - acc: 0.7433
81/254 [========>.....................] - ETA: 0s - loss: 0.4976 - acc: 0.7407
98/254 [==========>...................] - ETA: 0s - loss: 0.4909 - acc: 0.7510
116/254 [============>.................] - ETA: 0s - loss: 0.4901 - acc: 0.7556
133/254 [==============>...............] - ETA: 0s - loss: 0.4943 - acc: 0.7523
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191/254 [=====================>........] - ETA: 0s - loss: 0.4998 - acc: 0.7466
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224/254 [=========================>....] - ETA: 0s - loss: 0.4992 - acc: 0.7469
239/254 [===========================>..] - ETA: 0s - loss: 0.4986 - acc: 0.7469
254/254 [==============================] - 1s 3ms/step - loss: 0.4960 - acc: 0.7493
254/254 [==============================] - 1s 4ms/step - loss: 0.4960 - acc: 0.7493 - val_loss: 0.4844 - val_acc: 0.7620
Epoch 19/30
1/254 [..............................] - ETA: 0s - loss: 0.3715 - acc: 0.8000
17/254 [=>............................] - ETA: 0s - loss: 0.4778 - acc: 0.7294
35/254 [===>..........................] - ETA: 0s - loss: 0.5029 - acc: 0.7371
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111/254 [============>.................] - ETA: 0s - loss: 0.5071 - acc: 0.7347
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249/254 [============================>.] - ETA: 0s - loss: 0.4961 - acc: 0.7446
254/254 [==============================] - 1s 4ms/step - loss: 0.4938 - acc: 0.7459
254/254 [==============================] - 1s 5ms/step - loss: 0.4938 - acc: 0.7459 - val_loss: 0.4980 - val_acc: 0.7549
Epoch 20/30
1/254 [..............................] - ETA: 0s - loss: 0.3605 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.4768 - acc: 0.7806
36/254 [===>..........................] - ETA: 0s - loss: 0.4944 - acc: 0.7375
53/254 [=====>........................] - ETA: 0s - loss: 0.4850 - acc: 0.7425
70/254 [=======>......................] - ETA: 0s - loss: 0.4873 - acc: 0.7464
87/254 [=========>....................] - ETA: 0s - loss: 0.4767 - acc: 0.7569
104/254 [===========>..................] - ETA: 0s - loss: 0.4801 - acc: 0.7534
122/254 [=============>................] - ETA: 0s - loss: 0.4894 - acc: 0.7520
139/254 [===============>..............] - ETA: 0s - loss: 0.4930 - acc: 0.7482
155/254 [=================>............] - ETA: 0s - loss: 0.4935 - acc: 0.7503
172/254 [===================>..........] - ETA: 0s - loss: 0.4963 - acc: 0.7480
191/254 [=====================>........] - ETA: 0s - loss: 0.4939 - acc: 0.7463
204/254 [=======================>......] - ETA: 0s - loss: 0.4919 - acc: 0.7471
212/254 [========================>.....] - ETA: 0s - loss: 0.4908 - acc: 0.7483
226/254 [=========================>....] - ETA: 0s - loss: 0.4901 - acc: 0.7496
244/254 [===========================>..] - ETA: 0s - loss: 0.4919 - acc: 0.7484
254/254 [==============================] - 1s 3ms/step - loss: 0.4925 - acc: 0.7473
254/254 [==============================] - 1s 4ms/step - loss: 0.4925 - acc: 0.7473 - val_loss: 0.4958 - val_acc: 0.7584
Epoch 21/30
1/254 [..............................] - ETA: 0s - loss: 0.3411 - acc: 0.6500
18/254 [=>............................] - ETA: 0s - loss: 0.4276 - acc: 0.7556
36/254 [===>..........................] - ETA: 0s - loss: 0.4551 - acc: 0.7556
54/254 [=====>........................] - ETA: 0s - loss: 0.4703 - acc: 0.7537
72/254 [=======>......................] - ETA: 0s - loss: 0.4581 - acc: 0.7632
84/254 [========>.....................] - ETA: 0s - loss: 0.4656 - acc: 0.7631
89/254 [=========>....................] - ETA: 0s - loss: 0.4639 - acc: 0.7640
107/254 [===========>..................] - ETA: 0s - loss: 0.4710 - acc: 0.7579
124/254 [=============>................] - ETA: 0s - loss: 0.4831 - acc: 0.7504
139/254 [===============>..............] - ETA: 0s - loss: 0.4843 - acc: 0.7486
157/254 [=================>............] - ETA: 0s - loss: 0.4866 - acc: 0.7475
164/254 [==================>...........] - ETA: 0s - loss: 0.4879 - acc: 0.7466
179/254 [====================>.........] - ETA: 0s - loss: 0.4933 - acc: 0.7436
194/254 [=====================>........] - ETA: 0s - loss: 0.4965 - acc: 0.7394
208/254 [=======================>......] - ETA: 0s - loss: 0.4955 - acc: 0.7418
226/254 [=========================>....] - ETA: 0s - loss: 0.4968 - acc: 0.7429
244/254 [===========================>..] - ETA: 0s - loss: 0.4918 - acc: 0.7449
254/254 [==============================] - 1s 4ms/step - loss: 0.4885 - acc: 0.7457
254/254 [==============================] - 1s 5ms/step - loss: 0.4885 - acc: 0.7457 - val_loss: 0.4635 - val_acc: 0.7780
Epoch 22/30
1/254 [..............................] - ETA: 0s - loss: 0.2839 - acc: 0.8500
18/254 [=>............................] - ETA: 0s - loss: 0.5411 - acc: 0.7306
25/254 [=>............................] - ETA: 1s - loss: 0.5450 - acc: 0.7340
42/254 [===>..........................] - ETA: 0s - loss: 0.5208 - acc: 0.7583
52/254 [=====>........................] - ETA: 0s - loss: 0.5158 - acc: 0.7625
68/254 [=======>......................] - ETA: 0s - loss: 0.4933 - acc: 0.7654
84/254 [========>.....................] - ETA: 0s - loss: 0.4920 - acc: 0.7631
101/254 [==========>...................] - ETA: 0s - loss: 0.4900 - acc: 0.7599
118/254 [============>.................] - ETA: 0s - loss: 0.4990 - acc: 0.7589
136/254 [===============>..............] - ETA: 0s - loss: 0.4976 - acc: 0.7618
153/254 [=================>............] - ETA: 0s - loss: 0.4964 - acc: 0.7605
169/254 [==================>...........] - ETA: 0s - loss: 0.4986 - acc: 0.7586
186/254 [====================>.........] - ETA: 0s - loss: 0.4942 - acc: 0.7597
204/254 [=======================>......] - ETA: 0s - loss: 0.4966 - acc: 0.7571
221/254 [=========================>....] - ETA: 0s - loss: 0.4965 - acc: 0.7577
238/254 [===========================>..] - ETA: 0s - loss: 0.4958 - acc: 0.7580
254/254 [==============================] - 1s 3ms/step - loss: 0.4920 - acc: 0.7597
254/254 [==============================] - 1s 4ms/step - loss: 0.4920 - acc: 0.7597 - val_loss: 0.5011 - val_acc: 0.7513
Epoch 23/30
1/254 [..............................] - ETA: 1s - loss: 0.4741 - acc: 0.6500
11/254 [>.............................] - ETA: 1s - loss: 0.4382 - acc: 0.7773
28/254 [==>...........................] - ETA: 0s - loss: 0.4445 - acc: 0.7750
42/254 [===>..........................] - ETA: 0s - loss: 0.4518 - acc: 0.7690
56/254 [=====>........................] - ETA: 0s - loss: 0.4666 - acc: 0.7652
72/254 [=======>......................] - ETA: 0s - loss: 0.4811 - acc: 0.7688
88/254 [=========>....................] - ETA: 0s - loss: 0.4832 - acc: 0.7682
106/254 [===========>..................] - ETA: 0s - loss: 0.4851 - acc: 0.7651
123/254 [=============>................] - ETA: 0s - loss: 0.4900 - acc: 0.7598
141/254 [===============>..............] - ETA: 0s - loss: 0.4934 - acc: 0.7592
157/254 [=================>............] - ETA: 0s - loss: 0.4920 - acc: 0.7608
174/254 [===================>..........] - ETA: 0s - loss: 0.4934 - acc: 0.7618
192/254 [=====================>........] - ETA: 0s - loss: 0.4940 - acc: 0.7622
209/254 [=======================>......] - ETA: 0s - loss: 0.4917 - acc: 0.7612
226/254 [=========================>....] - ETA: 0s - loss: 0.4912 - acc: 0.7600
243/254 [===========================>..] - ETA: 0s - loss: 0.4932 - acc: 0.7586
254/254 [==============================] - 1s 3ms/step - loss: 0.4910 - acc: 0.7585
254/254 [==============================] - 1s 5ms/step - loss: 0.4910 - acc: 0.7585 - val_loss: 0.4902 - val_acc: 0.7620
Epoch 24/30
1/254 [..............................] - ETA: 0s - loss: 0.5048 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5059 - acc: 0.7361
36/254 [===>..........................] - ETA: 0s - loss: 0.5051 - acc: 0.7403
51/254 [=====>........................] - ETA: 0s - loss: 0.4918 - acc: 0.7539
67/254 [======>.......................] - ETA: 0s - loss: 0.4815 - acc: 0.7604
83/254 [========>.....................] - ETA: 0s - loss: 0.4742 - acc: 0.7620
100/254 [==========>...................] - ETA: 0s - loss: 0.4801 - acc: 0.7535
117/254 [============>.................] - ETA: 0s - loss: 0.4813 - acc: 0.7543
126/254 [=============>................] - ETA: 0s - loss: 0.4867 - acc: 0.7560
142/254 [===============>..............] - ETA: 0s - loss: 0.4814 - acc: 0.7577
158/254 [=================>............] - ETA: 0s - loss: 0.4858 - acc: 0.7551
176/254 [===================>..........] - ETA: 0s - loss: 0.4905 - acc: 0.7528
193/254 [=====================>........] - ETA: 0s - loss: 0.4892 - acc: 0.7521
210/254 [=======================>......] - ETA: 0s - loss: 0.4902 - acc: 0.7526
227/254 [=========================>....] - ETA: 0s - loss: 0.4902 - acc: 0.7557
244/254 [===========================>..] - ETA: 0s - loss: 0.4913 - acc: 0.7537
254/254 [==============================] - 1s 3ms/step - loss: 0.4880 - acc: 0.7548
254/254 [==============================] - 1s 4ms/step - loss: 0.4880 - acc: 0.7548 - val_loss: 0.4853 - val_acc: 0.7602
Epoch 25/30
1/254 [..............................] - ETA: 1s - loss: 0.4856 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.5054 - acc: 0.7361
36/254 [===>..........................] - ETA: 0s - loss: 0.5169 - acc: 0.7444
50/254 [====>.........................] - ETA: 0s - loss: 0.5216 - acc: 0.7370
59/254 [=====>........................] - ETA: 0s - loss: 0.5128 - acc: 0.7449
76/254 [=======>......................] - ETA: 0s - loss: 0.5091 - acc: 0.7428
92/254 [=========>....................] - ETA: 0s - loss: 0.5162 - acc: 0.7440
109/254 [===========>..................] - ETA: 0s - loss: 0.5074 - acc: 0.7408
126/254 [=============>................] - ETA: 0s - loss: 0.5047 - acc: 0.7425
143/254 [===============>..............] - ETA: 0s - loss: 0.5034 - acc: 0.7430
161/254 [==================>...........] - ETA: 0s - loss: 0.4969 - acc: 0.7469
178/254 [====================>.........] - ETA: 0s - loss: 0.4999 - acc: 0.7452
195/254 [======================>.......] - ETA: 0s - loss: 0.4962 - acc: 0.7456
212/254 [========================>.....] - ETA: 0s - loss: 0.4934 - acc: 0.7476
230/254 [==========================>...] - ETA: 0s - loss: 0.4890 - acc: 0.7528
248/254 [============================>.] - ETA: 0s - loss: 0.4880 - acc: 0.7508
254/254 [==============================] - 1s 3ms/step - loss: 0.4875 - acc: 0.7512
254/254 [==============================] - 1s 4ms/step - loss: 0.4875 - acc: 0.7512 - val_loss: 0.4651 - val_acc: 0.7744
Epoch 26/30
1/254 [..............................] - ETA: 0s - loss: 0.4359 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.5305 - acc: 0.7556
36/254 [===>..........................] - ETA: 0s - loss: 0.5069 - acc: 0.7736
54/254 [=====>........................] - ETA: 0s - loss: 0.4764 - acc: 0.7824
71/254 [=======>......................] - ETA: 0s - loss: 0.4808 - acc: 0.7669
88/254 [=========>....................] - ETA: 0s - loss: 0.4883 - acc: 0.7545
106/254 [===========>..................] - ETA: 0s - loss: 0.4968 - acc: 0.7509
123/254 [=============>................] - ETA: 0s - loss: 0.4968 - acc: 0.7537
139/254 [===============>..............] - ETA: 0s - loss: 0.4923 - acc: 0.7572
146/254 [================>.............] - ETA: 0s - loss: 0.4915 - acc: 0.7565
158/254 [=================>............] - ETA: 0s - loss: 0.4927 - acc: 0.7554
175/254 [===================>..........] - ETA: 0s - loss: 0.4975 - acc: 0.7529
189/254 [=====================>........] - ETA: 0s - loss: 0.4937 - acc: 0.7529
198/254 [======================>.......] - ETA: 0s - loss: 0.4921 - acc: 0.7543
212/254 [========================>.....] - ETA: 0s - loss: 0.4901 - acc: 0.7545
226/254 [=========================>....] - ETA: 0s - loss: 0.4901 - acc: 0.7562
243/254 [===========================>..] - ETA: 0s - loss: 0.4912 - acc: 0.7558
254/254 [==============================] - 1s 4ms/step - loss: 0.4898 - acc: 0.7558
254/254 [==============================] - 1s 5ms/step - loss: 0.4898 - acc: 0.7558 - val_loss: 0.4735 - val_acc: 0.7638
Epoch 27/30
1/254 [..............................] - ETA: 0s - loss: 0.4076 - acc: 0.9000
16/254 [>.............................] - ETA: 0s - loss: 0.5125 - acc: 0.7625
34/254 [===>..........................] - ETA: 0s - loss: 0.4961 - acc: 0.7500
51/254 [=====>........................] - ETA: 0s - loss: 0.4838 - acc: 0.7598
69/254 [=======>......................] - ETA: 0s - loss: 0.4704 - acc: 0.7594
87/254 [=========>....................] - ETA: 0s - loss: 0.4811 - acc: 0.7569
105/254 [===========>..................] - ETA: 0s - loss: 0.4882 - acc: 0.7524
122/254 [=============>................] - ETA: 0s - loss: 0.4861 - acc: 0.7529
140/254 [===============>..............] - ETA: 0s - loss: 0.4878 - acc: 0.7511
156/254 [=================>............] - ETA: 0s - loss: 0.4872 - acc: 0.7529
172/254 [===================>..........] - ETA: 0s - loss: 0.4854 - acc: 0.7564
183/254 [====================>.........] - ETA: 0s - loss: 0.4881 - acc: 0.7541
193/254 [=====================>........] - ETA: 0s - loss: 0.4871 - acc: 0.7562
209/254 [=======================>......] - ETA: 0s - loss: 0.4848 - acc: 0.7596
225/254 [=========================>....] - ETA: 0s - loss: 0.4886 - acc: 0.7547
243/254 [===========================>..] - ETA: 0s - loss: 0.4841 - acc: 0.7562
254/254 [==============================] - 1s 3ms/step - loss: 0.4858 - acc: 0.7542
254/254 [==============================] - 1s 4ms/step - loss: 0.4858 - acc: 0.7542 - val_loss: 0.4934 - val_acc: 0.7549
Epoch 28/30
1/254 [..............................] - ETA: 0s - loss: 0.6006 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4872 - acc: 0.7361
36/254 [===>..........................] - ETA: 0s - loss: 0.5097 - acc: 0.7264
52/254 [=====>........................] - ETA: 0s - loss: 0.5178 - acc: 0.7269
69/254 [=======>......................] - ETA: 0s - loss: 0.4965 - acc: 0.7391
86/254 [=========>....................] - ETA: 0s - loss: 0.4938 - acc: 0.7483
104/254 [===========>..................] - ETA: 0s - loss: 0.4943 - acc: 0.7519
123/254 [=============>................] - ETA: 0s - loss: 0.4918 - acc: 0.7500
141/254 [===============>..............] - ETA: 0s - loss: 0.4950 - acc: 0.7486
160/254 [=================>............] - ETA: 0s - loss: 0.4937 - acc: 0.7522
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179/254 [====================>.........] - ETA: 0s - loss: 0.4976 - acc: 0.7520
196/254 [======================>.......] - ETA: 0s - loss: 0.4946 - acc: 0.7518
210/254 [=======================>......] - ETA: 0s - loss: 0.4953 - acc: 0.7507
219/254 [========================>.....] - ETA: 0s - loss: 0.4932 - acc: 0.7509
226/254 [=========================>....] - ETA: 0s - loss: 0.4915 - acc: 0.7511
243/254 [===========================>..] - ETA: 0s - loss: 0.4915 - acc: 0.7502
254/254 [==============================] - 1s 4ms/step - loss: 0.4905 - acc: 0.7497
254/254 [==============================] - 1s 5ms/step - loss: 0.4905 - acc: 0.7497 - val_loss: 0.4800 - val_acc: 0.7620
Epoch 29/30
1/254 [..............................] - ETA: 1s - loss: 0.3286 - acc: 0.9500
19/254 [=>............................] - ETA: 0s - loss: 0.4276 - acc: 0.7868
37/254 [===>..........................] - ETA: 0s - loss: 0.4401 - acc: 0.7716
55/254 [=====>........................] - ETA: 0s - loss: 0.4738 - acc: 0.7700
72/254 [=======>......................] - ETA: 0s - loss: 0.4931 - acc: 0.7583
90/254 [=========>....................] - ETA: 0s - loss: 0.4876 - acc: 0.7639
107/254 [===========>..................] - ETA: 0s - loss: 0.4896 - acc: 0.7589
123/254 [=============>................] - ETA: 0s - loss: 0.4864 - acc: 0.7573
140/254 [===============>..............] - ETA: 0s - loss: 0.4869 - acc: 0.7575
157/254 [=================>............] - ETA: 0s - loss: 0.4862 - acc: 0.7602
174/254 [===================>..........] - ETA: 0s - loss: 0.4860 - acc: 0.7595
192/254 [=====================>........] - ETA: 0s - loss: 0.4858 - acc: 0.7560
200/254 [======================>.......] - ETA: 0s - loss: 0.4844 - acc: 0.7563
210/254 [=======================>......] - ETA: 0s - loss: 0.4866 - acc: 0.7538
225/254 [=========================>....] - ETA: 0s - loss: 0.4842 - acc: 0.7560
236/254 [==========================>...] - ETA: 0s - loss: 0.4851 - acc: 0.7568
252/254 [============================>.] - ETA: 0s - loss: 0.4864 - acc: 0.7556
254/254 [==============================] - 1s 3ms/step - loss: 0.4858 - acc: 0.7558
254/254 [==============================] - 1s 4ms/step - loss: 0.4858 - acc: 0.7558 - val_loss: 0.4892 - val_acc: 0.7638
Epoch 30/30
1/254 [..............................] - ETA: 0s - loss: 0.3507 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4792 - acc: 0.7583
36/254 [===>..........................] - ETA: 0s - loss: 0.4838 - acc: 0.7486
52/254 [=====>........................] - ETA: 0s - loss: 0.4789 - acc: 0.7577
69/254 [=======>......................] - ETA: 0s - loss: 0.4698 - acc: 0.7609
76/254 [=======>......................] - ETA: 0s - loss: 0.4845 - acc: 0.7559
94/254 [==========>...................] - ETA: 0s - loss: 0.4940 - acc: 0.7574
103/254 [===========>..................] - ETA: 0s - loss: 0.4880 - acc: 0.7578
120/254 [=============>................] - ETA: 0s - loss: 0.4836 - acc: 0.7608
137/254 [===============>..............] - ETA: 0s - loss: 0.4908 - acc: 0.7562
153/254 [=================>............] - ETA: 0s - loss: 0.4872 - acc: 0.7592
169/254 [==================>...........] - ETA: 0s - loss: 0.4886 - acc: 0.7568
185/254 [====================>.........] - ETA: 0s - loss: 0.4934 - acc: 0.7543
202/254 [======================>.......] - ETA: 0s - loss: 0.4948 - acc: 0.7515
219/254 [========================>.....] - ETA: 0s - loss: 0.4928 - acc: 0.7518
236/254 [==========================>...] - ETA: 0s - loss: 0.4935 - acc: 0.7502
254/254 [==============================] - 1s 3ms/step - loss: 0.4884 - acc: 0.7522
254/254 [==============================] - 1s 4ms/step - loss: 0.4884 - acc: 0.7522 - val_loss: 0.4671 - val_acc: 0.7726
Run completed: runs/2024-05-06T19-50-08Z
Training run 51/52 (flags = list(64, 64, 0.01, 50, 30, "sigmoid", "relu", 0.2, 0.5))
Using run directory runs/2024-05-06T19-50-44Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/30
1/102 [..............................] - ETA: 1:58 - loss: 0.7919 - acc: 0.4400
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0292s). Check your callbacks.
15/102 [===>..........................] - ETA: 0s - loss: 0.7198 - acc: 0.5027
31/102 [========>.....................] - ETA: 0s - loss: 0.6874 - acc: 0.5381
46/102 [============>.................] - ETA: 0s - loss: 0.6807 - acc: 0.5691
62/102 [=================>............] - ETA: 0s - loss: 0.6610 - acc: 0.5942
78/102 [=====================>........] - ETA: 0s - loss: 0.6422 - acc: 0.6205
94/102 [==========================>...] - ETA: 0s - loss: 0.6262 - acc: 0.6406
102/102 [==============================] - 2s 3ms/step - loss: 0.6259 - acc: 0.6450
102/102 [==============================] - 2s 11ms/step - loss: 0.6259 - acc: 0.6450 - val_loss: 0.5475 - val_acc: 0.7247
Epoch 2/30
1/102 [..............................] - ETA: 0s - loss: 0.4698 - acc: 0.6400
15/102 [===>..........................] - ETA: 0s - loss: 0.5226 - acc: 0.7267
29/102 [=======>......................] - ETA: 0s - loss: 0.5409 - acc: 0.7186
37/102 [=========>....................] - ETA: 0s - loss: 0.5389 - acc: 0.7238
47/102 [============>.................] - ETA: 0s - loss: 0.5417 - acc: 0.7272
59/102 [================>.............] - ETA: 0s - loss: 0.5390 - acc: 0.7281
76/102 [=====================>........] - ETA: 0s - loss: 0.5294 - acc: 0.7316
84/102 [=======================>......] - ETA: 0s - loss: 0.5263 - acc: 0.7371
100/102 [============================>.] - ETA: 0s - loss: 0.5227 - acc: 0.7378
102/102 [==============================] - 0s 4ms/step - loss: 0.5264 - acc: 0.7368
102/102 [==============================] - 1s 6ms/step - loss: 0.5264 - acc: 0.7368 - val_loss: 0.5066 - val_acc: 0.7531
Epoch 3/30
1/102 [..............................] - ETA: 0s - loss: 0.4909 - acc: 0.8400
14/102 [===>..........................] - ETA: 0s - loss: 0.5057 - acc: 0.7514
29/102 [=======>......................] - ETA: 0s - loss: 0.5213 - acc: 0.7441
45/102 [============>.................] - ETA: 0s - loss: 0.5204 - acc: 0.7396
61/102 [================>.............] - ETA: 0s - loss: 0.5195 - acc: 0.7367
77/102 [=====================>........] - ETA: 0s - loss: 0.5212 - acc: 0.7384
92/102 [==========================>...] - ETA: 0s - loss: 0.5197 - acc: 0.7385
102/102 [==============================] - 0s 3ms/step - loss: 0.5177 - acc: 0.7390
102/102 [==============================] - 1s 6ms/step - loss: 0.5177 - acc: 0.7390 - val_loss: 0.5056 - val_acc: 0.7567
Epoch 4/30
1/102 [..............................] - ETA: 0s - loss: 0.4359 - acc: 0.7400
14/102 [===>..........................] - ETA: 0s - loss: 0.4921 - acc: 0.7371
20/102 [====>.........................] - ETA: 0s - loss: 0.5068 - acc: 0.7320
35/102 [=========>....................] - ETA: 0s - loss: 0.5178 - acc: 0.7411
40/102 [==========>...................] - ETA: 0s - loss: 0.5184 - acc: 0.7440
56/102 [===============>..............] - ETA: 0s - loss: 0.5231 - acc: 0.7371
71/102 [===================>..........] - ETA: 0s - loss: 0.5244 - acc: 0.7423
86/102 [========================>.....] - ETA: 0s - loss: 0.5213 - acc: 0.7384
101/102 [============================>.] - ETA: 0s - loss: 0.5191 - acc: 0.7398
102/102 [==============================] - 0s 4ms/step - loss: 0.5186 - acc: 0.7406
102/102 [==============================] - 1s 7ms/step - loss: 0.5186 - acc: 0.7406 - val_loss: 0.4591 - val_acc: 0.7815
Epoch 5/30
1/102 [..............................] - ETA: 0s - loss: 0.7074 - acc: 0.7200
17/102 [====>.........................] - ETA: 0s - loss: 0.5250 - acc: 0.7659
33/102 [========>.....................] - ETA: 0s - loss: 0.5037 - acc: 0.7545
49/102 [=============>................] - ETA: 0s - loss: 0.4942 - acc: 0.7645
63/102 [=================>............] - ETA: 0s - loss: 0.4991 - acc: 0.7603
78/102 [=====================>........] - ETA: 0s - loss: 0.5001 - acc: 0.7569
84/102 [=======================>......] - ETA: 0s - loss: 0.4984 - acc: 0.7550
100/102 [============================>.] - ETA: 0s - loss: 0.5010 - acc: 0.7536
102/102 [==============================] - 0s 4ms/step - loss: 0.5024 - acc: 0.7530
102/102 [==============================] - 1s 8ms/step - loss: 0.5024 - acc: 0.7530 - val_loss: 0.5008 - val_acc: 0.7531
Epoch 6/30
1/102 [..............................] - ETA: 0s - loss: 0.5225 - acc: 0.7200
16/102 [===>..........................] - ETA: 0s - loss: 0.5028 - acc: 0.7325
32/102 [========>.....................] - ETA: 0s - loss: 0.4977 - acc: 0.7519
48/102 [=============>................] - ETA: 0s - loss: 0.5126 - acc: 0.7425
63/102 [=================>............] - ETA: 0s - loss: 0.5117 - acc: 0.7406
78/102 [=====================>........] - ETA: 0s - loss: 0.5192 - acc: 0.7408
94/102 [==========================>...] - ETA: 0s - loss: 0.5102 - acc: 0.7479
102/102 [==============================] - 0s 3ms/step - loss: 0.5094 - acc: 0.7487
102/102 [==============================] - 1s 6ms/step - loss: 0.5094 - acc: 0.7487 - val_loss: 0.5041 - val_acc: 0.7496
Epoch 7/30
1/102 [..............................] - ETA: 0s - loss: 0.5676 - acc: 0.6800
12/102 [==>...........................] - ETA: 0s - loss: 0.4756 - acc: 0.7500
20/102 [====>.........................] - ETA: 0s - loss: 0.4804 - acc: 0.7550
37/102 [=========>....................] - ETA: 0s - loss: 0.4809 - acc: 0.7470
49/102 [=============>................] - ETA: 0s - loss: 0.4875 - acc: 0.7522
65/102 [==================>...........] - ETA: 0s - loss: 0.4965 - acc: 0.7446
81/102 [======================>.......] - ETA: 0s - loss: 0.4974 - acc: 0.7469
95/102 [==========================>...] - ETA: 0s - loss: 0.4999 - acc: 0.7446
102/102 [==============================] - 0s 4ms/step - loss: 0.5018 - acc: 0.7445
102/102 [==============================] - 1s 7ms/step - loss: 0.5018 - acc: 0.7445 - val_loss: 0.4972 - val_acc: 0.7549
Epoch 8/30
1/102 [..............................] - ETA: 0s - loss: 0.5212 - acc: 0.6800
16/102 [===>..........................] - ETA: 0s - loss: 0.5057 - acc: 0.7513
32/102 [========>.....................] - ETA: 0s - loss: 0.4913 - acc: 0.7625
48/102 [=============>................] - ETA: 0s - loss: 0.4964 - acc: 0.7592
63/102 [=================>............] - ETA: 0s - loss: 0.5079 - acc: 0.7505
79/102 [======================>.......] - ETA: 0s - loss: 0.5040 - acc: 0.7486
94/102 [==========================>...] - ETA: 0s - loss: 0.5019 - acc: 0.7485
102/102 [==============================] - 0s 3ms/step - loss: 0.4966 - acc: 0.7504
102/102 [==============================] - 1s 6ms/step - loss: 0.4966 - acc: 0.7504 - val_loss: 0.4558 - val_acc: 0.7815
Epoch 9/30
1/102 [..............................] - ETA: 0s - loss: 0.5580 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.4781 - acc: 0.7750
33/102 [========>.....................] - ETA: 0s - loss: 0.5050 - acc: 0.7642
50/102 [=============>................] - ETA: 0s - loss: 0.5069 - acc: 0.7556
66/102 [==================>...........] - ETA: 0s - loss: 0.5145 - acc: 0.7436
81/102 [======================>.......] - ETA: 0s - loss: 0.5037 - acc: 0.7467
97/102 [===========================>..] - ETA: 0s - loss: 0.5006 - acc: 0.7474
102/102 [==============================] - 0s 3ms/step - loss: 0.4988 - acc: 0.7489
102/102 [==============================] - 1s 7ms/step - loss: 0.4988 - acc: 0.7489 - val_loss: 0.4758 - val_acc: 0.7655
Epoch 10/30
1/102 [..............................] - ETA: 0s - loss: 0.3579 - acc: 0.8400
16/102 [===>..........................] - ETA: 0s - loss: 0.5094 - acc: 0.7588
31/102 [========>.....................] - ETA: 0s - loss: 0.4895 - acc: 0.7652
47/102 [============>.................] - ETA: 0s - loss: 0.4855 - acc: 0.7604
62/102 [=================>............] - ETA: 0s - loss: 0.4857 - acc: 0.7568
78/102 [=====================>........] - ETA: 0s - loss: 0.4896 - acc: 0.7569
91/102 [=========================>....] - ETA: 0s - loss: 0.4914 - acc: 0.7549
99/102 [============================>.] - ETA: 0s - loss: 0.4956 - acc: 0.7547
102/102 [==============================] - 0s 4ms/step - loss: 0.4968 - acc: 0.7532
102/102 [==============================] - 1s 7ms/step - loss: 0.4968 - acc: 0.7532 - val_loss: 0.4890 - val_acc: 0.7638
Epoch 11/30
1/102 [..............................] - ETA: 0s - loss: 0.7354 - acc: 0.7000
16/102 [===>..........................] - ETA: 0s - loss: 0.5200 - acc: 0.7487
33/102 [========>.....................] - ETA: 0s - loss: 0.5079 - acc: 0.7503
49/102 [=============>................] - ETA: 0s - loss: 0.4985 - acc: 0.7506
64/102 [=================>............] - ETA: 0s - loss: 0.5001 - acc: 0.7469
79/102 [======================>.......] - ETA: 0s - loss: 0.4963 - acc: 0.7481
93/102 [==========================>...] - ETA: 0s - loss: 0.4958 - acc: 0.7492
102/102 [==============================] - 0s 4ms/step - loss: 0.4928 - acc: 0.7508
102/102 [==============================] - 1s 6ms/step - loss: 0.4928 - acc: 0.7508 - val_loss: 0.4662 - val_acc: 0.7762
Epoch 12/30
1/102 [..............................] - ETA: 0s - loss: 0.5342 - acc: 0.7600
15/102 [===>..........................] - ETA: 0s - loss: 0.4986 - acc: 0.7573
31/102 [========>.....................] - ETA: 0s - loss: 0.5052 - acc: 0.7426
47/102 [============>.................] - ETA: 0s - loss: 0.5004 - acc: 0.7387
64/102 [=================>............] - ETA: 0s - loss: 0.4996 - acc: 0.7409
80/102 [======================>.......] - ETA: 0s - loss: 0.4900 - acc: 0.7437
96/102 [===========================>..] - ETA: 0s - loss: 0.4903 - acc: 0.7504
102/102 [==============================] - 0s 3ms/step - loss: 0.4902 - acc: 0.7514
102/102 [==============================] - 1s 6ms/step - loss: 0.4902 - acc: 0.7514 - val_loss: 0.5036 - val_acc: 0.7513
Epoch 13/30
1/102 [..............................] - ETA: 0s - loss: 0.3579 - acc: 0.8000
16/102 [===>..........................] - ETA: 0s - loss: 0.5056 - acc: 0.7275
27/102 [======>.......................] - ETA: 0s - loss: 0.4983 - acc: 0.7430
39/102 [==========>...................] - ETA: 0s - loss: 0.4950 - acc: 0.7503
54/102 [==============>...............] - ETA: 0s - loss: 0.5001 - acc: 0.7489
69/102 [===================>..........] - ETA: 0s - loss: 0.5004 - acc: 0.7493
85/102 [========================>.....] - ETA: 0s - loss: 0.5014 - acc: 0.7508
101/102 [============================>.] - ETA: 0s - loss: 0.4965 - acc: 0.7539
102/102 [==============================] - 0s 4ms/step - loss: 0.4962 - acc: 0.7542
102/102 [==============================] - 1s 6ms/step - loss: 0.4962 - acc: 0.7542 - val_loss: 0.4784 - val_acc: 0.7691
Epoch 14/30
1/102 [..............................] - ETA: 0s - loss: 0.5356 - acc: 0.8000
17/102 [====>.........................] - ETA: 0s - loss: 0.5017 - acc: 0.7600
33/102 [========>.....................] - ETA: 0s - loss: 0.4889 - acc: 0.7612
49/102 [=============>................] - ETA: 0s - loss: 0.4834 - acc: 0.7543
65/102 [==================>...........] - ETA: 0s - loss: 0.4807 - acc: 0.7615
81/102 [======================>.......] - ETA: 0s - loss: 0.4826 - acc: 0.7590
96/102 [===========================>..] - ETA: 0s - loss: 0.4902 - acc: 0.7571
102/102 [==============================] - 0s 3ms/step - loss: 0.4919 - acc: 0.7562
102/102 [==============================] - 1s 7ms/step - loss: 0.4919 - acc: 0.7562 - val_loss: 0.4993 - val_acc: 0.7567
Epoch 15/30
1/102 [..............................] - ETA: 0s - loss: 0.7890 - acc: 0.6400
16/102 [===>..........................] - ETA: 0s - loss: 0.5066 - acc: 0.7437
33/102 [========>.....................] - ETA: 0s - loss: 0.4998 - acc: 0.7406
49/102 [=============>................] - ETA: 0s - loss: 0.4935 - acc: 0.7424
65/102 [==================>...........] - ETA: 0s - loss: 0.4845 - acc: 0.7557
81/102 [======================>.......] - ETA: 0s - loss: 0.4896 - acc: 0.7533
97/102 [===========================>..] - ETA: 0s - loss: 0.4934 - acc: 0.7491
102/102 [==============================] - 0s 3ms/step - loss: 0.4911 - acc: 0.7497
102/102 [==============================] - 1s 5ms/step - loss: 0.4911 - acc: 0.7497 - val_loss: 0.4957 - val_acc: 0.7567
Epoch 16/30
1/102 [..............................] - ETA: 0s - loss: 0.5457 - acc: 0.7600
17/102 [====>.........................] - ETA: 0s - loss: 0.5019 - acc: 0.7412
34/102 [=========>....................] - ETA: 0s - loss: 0.5123 - acc: 0.7494
43/102 [===========>..................] - ETA: 0s - loss: 0.4992 - acc: 0.7521
58/102 [================>.............] - ETA: 0s - loss: 0.4923 - acc: 0.7531
67/102 [==================>...........] - ETA: 0s - loss: 0.4894 - acc: 0.7549
81/102 [======================>.......] - ETA: 0s - loss: 0.4867 - acc: 0.7578
97/102 [===========================>..] - ETA: 0s - loss: 0.4935 - acc: 0.7563
102/102 [==============================] - 0s 4ms/step - loss: 0.4960 - acc: 0.7538
102/102 [==============================] - 1s 7ms/step - loss: 0.4960 - acc: 0.7538 - val_loss: 0.5081 - val_acc: 0.7549
Epoch 17/30
1/102 [..............................] - ETA: 0s - loss: 0.5604 - acc: 0.7800
16/102 [===>..........................] - ETA: 0s - loss: 0.4749 - acc: 0.7650
32/102 [========>.....................] - ETA: 0s - loss: 0.4751 - acc: 0.7569
48/102 [=============>................] - ETA: 0s - loss: 0.4855 - acc: 0.7658
64/102 [=================>............] - ETA: 0s - loss: 0.4859 - acc: 0.7600
79/102 [======================>.......] - ETA: 0s - loss: 0.4857 - acc: 0.7592
95/102 [==========================>...] - ETA: 0s - loss: 0.4892 - acc: 0.7573
102/102 [==============================] - 0s 3ms/step - loss: 0.4884 - acc: 0.7566
102/102 [==============================] - 1s 6ms/step - loss: 0.4884 - acc: 0.7566 - val_loss: 0.4894 - val_acc: 0.7655
Epoch 18/30
1/102 [..............................] - ETA: 0s - loss: 0.4830 - acc: 0.7400
16/102 [===>..........................] - ETA: 0s - loss: 0.4817 - acc: 0.7387
32/102 [========>.....................] - ETA: 0s - loss: 0.4944 - acc: 0.7431
49/102 [=============>................] - ETA: 0s - loss: 0.4981 - acc: 0.7486
54/102 [==============>...............] - ETA: 0s - loss: 0.4926 - acc: 0.7481
70/102 [===================>..........] - ETA: 0s - loss: 0.4948 - acc: 0.7486
84/102 [=======================>......] - ETA: 0s - loss: 0.4915 - acc: 0.7512
95/102 [==========================>...] - ETA: 0s - loss: 0.4922 - acc: 0.7497
102/102 [==============================] - 0s 4ms/step - loss: 0.4888 - acc: 0.7520
102/102 [==============================] - 1s 6ms/step - loss: 0.4888 - acc: 0.7520 - val_loss: 0.4965 - val_acc: 0.7496
Run completed: runs/2024-05-06T19-50-44Z
Training run 52/52 (flags = list(64, 16, 0.001, 20, 50, "relu", "tanh", 0.5, 0.2))
Using run directory runs/2024-05-06T19-50-58Z
> Flags <- flags(
+ flag_numeric("nodes", 128),
+ flag_numeric("nodes2", 32),
+ flag_numeric("batch_size", 50),
+ flag_string("activation", "r ..." ... [TRUNCATED]
> callbacks = list(callback_early_stopping(monitor = "val_loss",patience = 10, restore_best_weights = TRUE))
> model = keras_model_sequential()
> model %>%
+ layer_dense(units = Flags$nodes, activation = Flags$activation,input_shape = dim(x_train)[2]) %>%
+ layer_dropout(Flags$dropout) %>% .... [TRUNCATED]
> model %>% compile(optimizer = optimizer_adam(lr = Flags$learning_rate), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
> model %>% fit(
+ as.matrix(x_train), y_train, epochs = Flags$epochs, batch_size = Flags$batch_size, validation_data=list(as.matrix(x_test), y_test .... [TRUNCATED]
Epoch 1/50
1/254 [..............................] - ETA: 5:05 - loss: 0.8740 - acc: 0.4500
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0074s vs `on_train_batch_end` time: 0.0293s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0074s vs `on_train_batch_end` time: 0.0293s). Check your callbacks.
9/254 [>.............................] - ETA: 1s - loss: 0.7049 - acc: 0.5222
19/254 [=>............................] - ETA: 1s - loss: 0.6919 - acc: 0.5737
33/254 [==>...........................] - ETA: 1s - loss: 0.6635 - acc: 0.5909
49/254 [====>.........................] - ETA: 1s - loss: 0.6402 - acc: 0.6204
63/254 [======>.......................] - ETA: 0s - loss: 0.6123 - acc: 0.6500
79/254 [========>.....................] - ETA: 0s - loss: 0.6113 - acc: 0.6582
96/254 [==========>...................] - ETA: 0s - loss: 0.6057 - acc: 0.6708
113/254 [============>.................] - ETA: 0s - loss: 0.5965 - acc: 0.6761
129/254 [==============>...............] - ETA: 0s - loss: 0.5986 - acc: 0.6791
146/254 [================>.............] - ETA: 0s - loss: 0.5950 - acc: 0.6853
162/254 [==================>...........] - ETA: 0s - loss: 0.5869 - acc: 0.6910
179/254 [====================>.........] - ETA: 0s - loss: 0.5792 - acc: 0.6933
196/254 [======================>.......] - ETA: 0s - loss: 0.5703 - acc: 0.6985
213/254 [========================>.....] - ETA: 0s - loss: 0.5686 - acc: 0.7026
231/254 [==========================>...] - ETA: 0s - loss: 0.5660 - acc: 0.7048
249/254 [============================>.] - ETA: 0s - loss: 0.5649 - acc: 0.7084
254/254 [==============================] - 2s 3ms/step - loss: 0.5627 - acc: 0.7094
254/254 [==============================] - 3s 7ms/step - loss: 0.5627 - acc: 0.7094 - val_loss: 0.4867 - val_acc: 0.7567
Epoch 2/50
1/254 [..............................] - ETA: 1s - loss: 0.4816 - acc: 0.7500
16/254 [>.............................] - ETA: 0s - loss: 0.5217 - acc: 0.7219
32/254 [==>...........................] - ETA: 0s - loss: 0.5063 - acc: 0.7500
41/254 [===>..........................] - ETA: 0s - loss: 0.5134 - acc: 0.7512
57/254 [=====>........................] - ETA: 0s - loss: 0.5026 - acc: 0.7623
72/254 [=======>......................] - ETA: 0s - loss: 0.5124 - acc: 0.7514
88/254 [=========>....................] - ETA: 0s - loss: 0.5212 - acc: 0.7415
103/254 [===========>..................] - ETA: 0s - loss: 0.5213 - acc: 0.7456
114/254 [============>.................] - ETA: 0s - loss: 0.5179 - acc: 0.7412
131/254 [==============>...............] - ETA: 0s - loss: 0.5075 - acc: 0.7462
149/254 [================>.............] - ETA: 0s - loss: 0.5118 - acc: 0.7419
164/254 [==================>...........] - ETA: 0s - loss: 0.5204 - acc: 0.7369
179/254 [====================>.........] - ETA: 0s - loss: 0.5187 - acc: 0.7372
193/254 [=====================>........] - ETA: 0s - loss: 0.5169 - acc: 0.7360
205/254 [=======================>......] - ETA: 0s - loss: 0.5174 - acc: 0.7366
223/254 [=========================>....] - ETA: 0s - loss: 0.5164 - acc: 0.7374
241/254 [===========================>..] - ETA: 0s - loss: 0.5161 - acc: 0.7390
254/254 [==============================] - 1s 3ms/step - loss: 0.5171 - acc: 0.7400
254/254 [==============================] - 1s 4ms/step - loss: 0.5171 - acc: 0.7400 - val_loss: 0.4692 - val_acc: 0.7691
Epoch 3/50
1/254 [..............................] - ETA: 1s - loss: 0.5113 - acc: 0.8000
15/254 [>.............................] - ETA: 0s - loss: 0.5812 - acc: 0.7300
32/254 [==>...........................] - ETA: 0s - loss: 0.5594 - acc: 0.7219
50/254 [====>.........................] - ETA: 0s - loss: 0.5319 - acc: 0.7280
60/254 [======>.......................] - ETA: 0s - loss: 0.5320 - acc: 0.7342
78/254 [========>.....................] - ETA: 0s - loss: 0.5145 - acc: 0.7410
84/254 [========>.....................] - ETA: 0s - loss: 0.5157 - acc: 0.7405
98/254 [==========>...................] - ETA: 0s - loss: 0.5121 - acc: 0.7362
103/254 [===========>..................] - ETA: 0s - loss: 0.5127 - acc: 0.7345
121/254 [=============>................] - ETA: 0s - loss: 0.5122 - acc: 0.7384
137/254 [===============>..............] - ETA: 0s - loss: 0.5101 - acc: 0.7394
152/254 [================>.............] - ETA: 0s - loss: 0.5064 - acc: 0.7401
167/254 [==================>...........] - ETA: 0s - loss: 0.5067 - acc: 0.7398
184/254 [====================>.........] - ETA: 0s - loss: 0.5081 - acc: 0.7405
200/254 [======================>.......] - ETA: 0s - loss: 0.5037 - acc: 0.7440
217/254 [========================>.....] - ETA: 0s - loss: 0.5024 - acc: 0.7477
234/254 [==========================>...] - ETA: 0s - loss: 0.5062 - acc: 0.7444
252/254 [============================>.] - ETA: 0s - loss: 0.5064 - acc: 0.7466
254/254 [==============================] - 1s 4ms/step - loss: 0.5063 - acc: 0.7461
254/254 [==============================] - 1s 5ms/step - loss: 0.5063 - acc: 0.7461 - val_loss: 0.4858 - val_acc: 0.7549
Epoch 4/50
1/254 [..............................] - ETA: 0s - loss: 1.1092 - acc: 0.5000
19/254 [=>............................] - ETA: 0s - loss: 0.5035 - acc: 0.7289
38/254 [===>..........................] - ETA: 0s - loss: 0.4893 - acc: 0.7382
49/254 [====>.........................] - ETA: 0s - loss: 0.5101 - acc: 0.7357
64/254 [======>.......................] - ETA: 0s - loss: 0.5063 - acc: 0.7453
79/254 [========>.....................] - ETA: 0s - loss: 0.5113 - acc: 0.7361
86/254 [=========>....................] - ETA: 0s - loss: 0.5027 - acc: 0.7372
104/254 [===========>..................] - ETA: 0s - loss: 0.4920 - acc: 0.7462
123/254 [=============>................] - ETA: 0s - loss: 0.4973 - acc: 0.7484
137/254 [===============>..............] - ETA: 0s - loss: 0.5014 - acc: 0.7464
155/254 [=================>............] - ETA: 0s - loss: 0.4979 - acc: 0.7481
173/254 [===================>..........] - ETA: 0s - loss: 0.5029 - acc: 0.7428
187/254 [=====================>........] - ETA: 0s - loss: 0.5042 - acc: 0.7452
206/254 [=======================>......] - ETA: 0s - loss: 0.5043 - acc: 0.7427
225/254 [=========================>....] - ETA: 0s - loss: 0.5003 - acc: 0.7431
243/254 [===========================>..] - ETA: 0s - loss: 0.5022 - acc: 0.7424
254/254 [==============================] - 1s 3ms/step - loss: 0.4999 - acc: 0.7414
254/254 [==============================] - 1s 4ms/step - loss: 0.4999 - acc: 0.7414 - val_loss: 0.4735 - val_acc: 0.7726
Epoch 5/50
1/254 [..............................] - ETA: 1s - loss: 0.4486 - acc: 0.7500
16/254 [>.............................] - ETA: 0s - loss: 0.4644 - acc: 0.7594
23/254 [=>............................] - ETA: 1s - loss: 0.4760 - acc: 0.7696
38/254 [===>..........................] - ETA: 0s - loss: 0.4652 - acc: 0.7605
52/254 [=====>........................] - ETA: 0s - loss: 0.4671 - acc: 0.7625
69/254 [=======>......................] - ETA: 0s - loss: 0.4789 - acc: 0.7609
87/254 [=========>....................] - ETA: 0s - loss: 0.4841 - acc: 0.7569
105/254 [===========>..................] - ETA: 0s - loss: 0.4888 - acc: 0.7595
123/254 [=============>................] - ETA: 0s - loss: 0.4908 - acc: 0.7577
140/254 [===============>..............] - ETA: 0s - loss: 0.4913 - acc: 0.7514
148/254 [================>.............] - ETA: 0s - loss: 0.4887 - acc: 0.7530
166/254 [==================>...........] - ETA: 0s - loss: 0.4903 - acc: 0.7524
172/254 [===================>..........] - ETA: 0s - loss: 0.4889 - acc: 0.7535
190/254 [=====================>........] - ETA: 0s - loss: 0.4924 - acc: 0.7505
205/254 [=======================>......] - ETA: 0s - loss: 0.4934 - acc: 0.7515
224/254 [=========================>....] - ETA: 0s - loss: 0.4983 - acc: 0.7464
242/254 [===========================>..] - ETA: 0s - loss: 0.5005 - acc: 0.7459
254/254 [==============================] - 1s 3ms/step - loss: 0.4956 - acc: 0.7469
254/254 [==============================] - 1s 5ms/step - loss: 0.4956 - acc: 0.7469 - val_loss: 0.4936 - val_acc: 0.7620
Epoch 6/50
1/254 [..............................] - ETA: 1s - loss: 0.6309 - acc: 0.5000
18/254 [=>............................] - ETA: 0s - loss: 0.4687 - acc: 0.7417
36/254 [===>..........................] - ETA: 0s - loss: 0.4723 - acc: 0.7625
53/254 [=====>........................] - ETA: 0s - loss: 0.4768 - acc: 0.7547
71/254 [=======>......................] - ETA: 0s - loss: 0.4906 - acc: 0.7521
89/254 [=========>....................] - ETA: 0s - loss: 0.4899 - acc: 0.7551
106/254 [===========>..................] - ETA: 0s - loss: 0.4965 - acc: 0.7495
124/254 [=============>................] - ETA: 0s - loss: 0.4912 - acc: 0.7492
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158/254 [=================>............] - ETA: 0s - loss: 0.4907 - acc: 0.7484
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194/254 [=====================>........] - ETA: 0s - loss: 0.4931 - acc: 0.7485
212/254 [========================>.....] - ETA: 0s - loss: 0.4918 - acc: 0.7502
229/254 [==========================>...] - ETA: 0s - loss: 0.4899 - acc: 0.7511
248/254 [============================>.] - ETA: 0s - loss: 0.4923 - acc: 0.7498
254/254 [==============================] - 1s 3ms/step - loss: 0.4914 - acc: 0.7508
254/254 [==============================] - 1s 4ms/step - loss: 0.4914 - acc: 0.7508 - val_loss: 0.4930 - val_acc: 0.7407
Epoch 7/50
1/254 [..............................] - ETA: 1s - loss: 0.4336 - acc: 0.8000
14/254 [>.............................] - ETA: 0s - loss: 0.5086 - acc: 0.7536
29/254 [==>...........................] - ETA: 0s - loss: 0.4910 - acc: 0.7517
46/254 [====>.........................] - ETA: 0s - loss: 0.4873 - acc: 0.7402
54/254 [=====>........................] - ETA: 0s - loss: 0.4959 - acc: 0.7417
71/254 [=======>......................] - ETA: 0s - loss: 0.4991 - acc: 0.7387
89/254 [=========>....................] - ETA: 0s - loss: 0.5037 - acc: 0.7348
107/254 [===========>..................] - ETA: 0s - loss: 0.5000 - acc: 0.7332
124/254 [=============>................] - ETA: 0s - loss: 0.4873 - acc: 0.7415
141/254 [===============>..............] - ETA: 0s - loss: 0.4820 - acc: 0.7457
159/254 [=================>............] - ETA: 0s - loss: 0.4920 - acc: 0.7431
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194/254 [=====================>........] - ETA: 0s - loss: 0.4882 - acc: 0.7438
212/254 [========================>.....] - ETA: 0s - loss: 0.4871 - acc: 0.7429
230/254 [==========================>...] - ETA: 0s - loss: 0.4900 - acc: 0.7450
248/254 [============================>.] - ETA: 0s - loss: 0.4892 - acc: 0.7462
254/254 [==============================] - 1s 3ms/step - loss: 0.4887 - acc: 0.7465
254/254 [==============================] - 1s 5ms/step - loss: 0.4887 - acc: 0.7465 - val_loss: 0.4868 - val_acc: 0.7602
Epoch 8/50
1/254 [..............................] - ETA: 1s - loss: 0.3616 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.4601 - acc: 0.7722
35/254 [===>..........................] - ETA: 0s - loss: 0.4807 - acc: 0.7543
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70/254 [=======>......................] - ETA: 0s - loss: 0.5003 - acc: 0.7429
87/254 [=========>....................] - ETA: 0s - loss: 0.5029 - acc: 0.7356
97/254 [==========>...................] - ETA: 0s - loss: 0.4950 - acc: 0.7361
104/254 [===========>..................] - ETA: 0s - loss: 0.4979 - acc: 0.7370
109/254 [===========>..................] - ETA: 0s - loss: 0.4973 - acc: 0.7362
124/254 [=============>................] - ETA: 0s - loss: 0.4985 - acc: 0.7387
143/254 [===============>..............] - ETA: 0s - loss: 0.4870 - acc: 0.7455
162/254 [==================>...........] - ETA: 0s - loss: 0.4849 - acc: 0.7414
180/254 [====================>.........] - ETA: 0s - loss: 0.4884 - acc: 0.7433
198/254 [======================>.......] - ETA: 0s - loss: 0.4897 - acc: 0.7449
215/254 [========================>.....] - ETA: 0s - loss: 0.4844 - acc: 0.7453
230/254 [==========================>...] - ETA: 0s - loss: 0.4861 - acc: 0.7457
241/254 [===========================>..] - ETA: 0s - loss: 0.4838 - acc: 0.7473
254/254 [==============================] - 1s 3ms/step - loss: 0.4840 - acc: 0.7471
254/254 [==============================] - 1s 5ms/step - loss: 0.4840 - acc: 0.7471 - val_loss: 0.4919 - val_acc: 0.7549
Epoch 9/50
1/254 [..............................] - ETA: 0s - loss: 0.3933 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5283 - acc: 0.7528
37/254 [===>..........................] - ETA: 0s - loss: 0.5158 - acc: 0.7541
55/254 [=====>........................] - ETA: 0s - loss: 0.5041 - acc: 0.7582
70/254 [=======>......................] - ETA: 0s - loss: 0.5082 - acc: 0.7450
87/254 [=========>....................] - ETA: 0s - loss: 0.4990 - acc: 0.7511
106/254 [===========>..................] - ETA: 0s - loss: 0.5104 - acc: 0.7406
125/254 [=============>................] - ETA: 0s - loss: 0.5080 - acc: 0.7400
142/254 [===============>..............] - ETA: 0s - loss: 0.5028 - acc: 0.7398
159/254 [=================>............] - ETA: 0s - loss: 0.5012 - acc: 0.7406
178/254 [====================>.........] - ETA: 0s - loss: 0.4973 - acc: 0.7452
196/254 [======================>.......] - ETA: 0s - loss: 0.4923 - acc: 0.7505
207/254 [=======================>......] - ETA: 0s - loss: 0.4906 - acc: 0.7502
224/254 [=========================>....] - ETA: 0s - loss: 0.4906 - acc: 0.7511
240/254 [===========================>..] - ETA: 0s - loss: 0.4921 - acc: 0.7508
250/254 [============================>.] - ETA: 0s - loss: 0.4929 - acc: 0.7514
254/254 [==============================] - 1s 3ms/step - loss: 0.4925 - acc: 0.7504
254/254 [==============================] - 1s 4ms/step - loss: 0.4925 - acc: 0.7504 - val_loss: 0.4929 - val_acc: 0.7549
Epoch 10/50
1/254 [..............................] - ETA: 0s - loss: 0.5608 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.4896 - acc: 0.7559
35/254 [===>..........................] - ETA: 0s - loss: 0.5123 - acc: 0.7500
54/254 [=====>........................] - ETA: 0s - loss: 0.4834 - acc: 0.7574
71/254 [=======>......................] - ETA: 0s - loss: 0.4716 - acc: 0.7606
89/254 [=========>....................] - ETA: 0s - loss: 0.4717 - acc: 0.7629
108/254 [===========>..................] - ETA: 0s - loss: 0.4717 - acc: 0.7639
127/254 [==============>...............] - ETA: 0s - loss: 0.4777 - acc: 0.7579
145/254 [================>.............] - ETA: 0s - loss: 0.4837 - acc: 0.7521
164/254 [==================>...........] - ETA: 0s - loss: 0.4829 - acc: 0.7512
182/254 [====================>.........] - ETA: 0s - loss: 0.4845 - acc: 0.7486
198/254 [======================>.......] - ETA: 0s - loss: 0.4908 - acc: 0.7472
206/254 [=======================>......] - ETA: 0s - loss: 0.4888 - acc: 0.7478
224/254 [=========================>....] - ETA: 0s - loss: 0.4920 - acc: 0.7473
228/254 [=========================>....] - ETA: 0s - loss: 0.4919 - acc: 0.7474
246/254 [============================>.] - ETA: 0s - loss: 0.4889 - acc: 0.7476
254/254 [==============================] - 1s 3ms/step - loss: 0.4866 - acc: 0.7500
254/254 [==============================] - 1s 4ms/step - loss: 0.4866 - acc: 0.7500 - val_loss: 0.4903 - val_acc: 0.7531
Epoch 11/50
1/254 [..............................] - ETA: 0s - loss: 0.4873 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4602 - acc: 0.7639
36/254 [===>..........................] - ETA: 0s - loss: 0.4876 - acc: 0.7431
53/254 [=====>........................] - ETA: 0s - loss: 0.4799 - acc: 0.7425
70/254 [=======>......................] - ETA: 0s - loss: 0.4877 - acc: 0.7421
87/254 [=========>....................] - ETA: 0s - loss: 0.4907 - acc: 0.7425
106/254 [===========>..................] - ETA: 0s - loss: 0.4803 - acc: 0.7509
124/254 [=============>................] - ETA: 0s - loss: 0.4808 - acc: 0.7508
134/254 [==============>...............] - ETA: 0s - loss: 0.4819 - acc: 0.7493
151/254 [================>.............] - ETA: 0s - loss: 0.4768 - acc: 0.7543
164/254 [==================>...........] - ETA: 0s - loss: 0.4725 - acc: 0.7540
175/254 [===================>..........] - ETA: 0s - loss: 0.4737 - acc: 0.7534
189/254 [=====================>........] - ETA: 0s - loss: 0.4731 - acc: 0.7540
208/254 [=======================>......] - ETA: 0s - loss: 0.4799 - acc: 0.7536
223/254 [=========================>....] - ETA: 0s - loss: 0.4830 - acc: 0.7491
239/254 [===========================>..] - ETA: 0s - loss: 0.4818 - acc: 0.7485
254/254 [==============================] - 1s 3ms/step - loss: 0.4830 - acc: 0.7475
254/254 [==============================] - 1s 4ms/step - loss: 0.4830 - acc: 0.7475 - val_loss: 0.4936 - val_acc: 0.7478
Epoch 12/50
1/254 [..............................] - ETA: 0s - loss: 0.6351 - acc: 0.8000
18/254 [=>............................] - ETA: 0s - loss: 0.5288 - acc: 0.7639
35/254 [===>..........................] - ETA: 0s - loss: 0.5189 - acc: 0.7429
54/254 [=====>........................] - ETA: 0s - loss: 0.5039 - acc: 0.7537
73/254 [=======>......................] - ETA: 0s - loss: 0.4913 - acc: 0.7521
91/254 [=========>....................] - ETA: 0s - loss: 0.5015 - acc: 0.7505
109/254 [===========>..................] - ETA: 0s - loss: 0.4937 - acc: 0.7514
121/254 [=============>................] - ETA: 0s - loss: 0.4877 - acc: 0.7517
139/254 [===============>..............] - ETA: 0s - loss: 0.4858 - acc: 0.7500
152/254 [================>.............] - ETA: 0s - loss: 0.4780 - acc: 0.7559
167/254 [==================>...........] - ETA: 0s - loss: 0.4851 - acc: 0.7548
184/254 [====================>.........] - ETA: 0s - loss: 0.4834 - acc: 0.7530
200/254 [======================>.......] - ETA: 0s - loss: 0.4823 - acc: 0.7517
217/254 [========================>.....] - ETA: 0s - loss: 0.4812 - acc: 0.7532
235/254 [==========================>...] - ETA: 0s - loss: 0.4811 - acc: 0.7538
250/254 [============================>.] - ETA: 0s - loss: 0.4795 - acc: 0.7548
254/254 [==============================] - 1s 3ms/step - loss: 0.4808 - acc: 0.7552
254/254 [==============================] - 1s 4ms/step - loss: 0.4808 - acc: 0.7552 - val_loss: 0.4665 - val_acc: 0.7655
Epoch 13/50
1/254 [..............................] - ETA: 0s - loss: 0.4461 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.4324 - acc: 0.7853
35/254 [===>..........................] - ETA: 0s - loss: 0.4706 - acc: 0.7586
53/254 [=====>........................] - ETA: 0s - loss: 0.4708 - acc: 0.7538
70/254 [=======>......................] - ETA: 0s - loss: 0.4663 - acc: 0.7657
78/254 [========>.....................] - ETA: 0s - loss: 0.4615 - acc: 0.7686
81/254 [========>.....................] - ETA: 0s - loss: 0.4642 - acc: 0.7660
97/254 [==========>...................] - ETA: 0s - loss: 0.4615 - acc: 0.7686
108/254 [===========>..................] - ETA: 0s - loss: 0.4708 - acc: 0.7620
126/254 [=============>................] - ETA: 0s - loss: 0.4647 - acc: 0.7631
143/254 [===============>..............] - ETA: 0s - loss: 0.4599 - acc: 0.7668
153/254 [=================>............] - ETA: 0s - loss: 0.4652 - acc: 0.7644
171/254 [===================>..........] - ETA: 0s - loss: 0.4738 - acc: 0.7635
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206/254 [=======================>......] - ETA: 0s - loss: 0.4795 - acc: 0.7592
224/254 [=========================>....] - ETA: 0s - loss: 0.4785 - acc: 0.7578
241/254 [===========================>..] - ETA: 0s - loss: 0.4791 - acc: 0.7546
254/254 [==============================] - 1s 4ms/step - loss: 0.4797 - acc: 0.7558
254/254 [==============================] - 1s 4ms/step - loss: 0.4797 - acc: 0.7558 - val_loss: 0.4936 - val_acc: 0.7531
Epoch 14/50
1/254 [..............................] - ETA: 0s - loss: 0.4888 - acc: 0.9000
18/254 [=>............................] - ETA: 0s - loss: 0.4682 - acc: 0.7694
36/254 [===>..........................] - ETA: 0s - loss: 0.4386 - acc: 0.7708
50/254 [====>.........................] - ETA: 0s - loss: 0.4381 - acc: 0.7660
61/254 [======>.......................] - ETA: 0s - loss: 0.4424 - acc: 0.7705
79/254 [========>.....................] - ETA: 0s - loss: 0.4580 - acc: 0.7703
96/254 [==========>...................] - ETA: 0s - loss: 0.4539 - acc: 0.7708
114/254 [============>.................] - ETA: 0s - loss: 0.4614 - acc: 0.7618
132/254 [==============>...............] - ETA: 0s - loss: 0.4636 - acc: 0.7591
147/254 [================>.............] - ETA: 0s - loss: 0.4614 - acc: 0.7592
164/254 [==================>...........] - ETA: 0s - loss: 0.4561 - acc: 0.7628
181/254 [====================>.........] - ETA: 0s - loss: 0.4607 - acc: 0.7663
197/254 [======================>.......] - ETA: 0s - loss: 0.4660 - acc: 0.7647
216/254 [========================>.....] - ETA: 0s - loss: 0.4712 - acc: 0.7632
234/254 [==========================>...] - ETA: 0s - loss: 0.4691 - acc: 0.7643
251/254 [============================>.] - ETA: 0s - loss: 0.4721 - acc: 0.7639
254/254 [==============================] - 1s 3ms/step - loss: 0.4721 - acc: 0.7633
254/254 [==============================] - 1s 4ms/step - loss: 0.4721 - acc: 0.7633 - val_loss: 0.4824 - val_acc: 0.7602
Epoch 15/50
1/254 [..............................] - ETA: 0s - loss: 0.4413 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4781 - acc: 0.7667
36/254 [===>..........................] - ETA: 0s - loss: 0.4910 - acc: 0.7444
43/254 [====>.........................] - ETA: 0s - loss: 0.4892 - acc: 0.7430
55/254 [=====>........................] - ETA: 0s - loss: 0.4782 - acc: 0.7482
73/254 [=======>......................] - ETA: 0s - loss: 0.4809 - acc: 0.7390
83/254 [========>.....................] - ETA: 0s - loss: 0.4780 - acc: 0.7404
100/254 [==========>...................] - ETA: 0s - loss: 0.4835 - acc: 0.7415
118/254 [============>.................] - ETA: 0s - loss: 0.4817 - acc: 0.7475
135/254 [==============>...............] - ETA: 0s - loss: 0.4766 - acc: 0.7526
151/254 [================>.............] - ETA: 0s - loss: 0.4847 - acc: 0.7507
170/254 [===================>..........] - ETA: 0s - loss: 0.4773 - acc: 0.7574
188/254 [=====================>........] - ETA: 0s - loss: 0.4745 - acc: 0.7598
206/254 [=======================>......] - ETA: 0s - loss: 0.4736 - acc: 0.7592
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240/254 [===========================>..] - ETA: 0s - loss: 0.4769 - acc: 0.7550
254/254 [==============================] - 1s 4ms/step - loss: 0.4769 - acc: 0.7569
254/254 [==============================] - 1s 5ms/step - loss: 0.4769 - acc: 0.7569 - val_loss: 0.4803 - val_acc: 0.7478
Epoch 16/50
1/254 [..............................] - ETA: 2s - loss: 0.5794 - acc: 0.7000
17/254 [=>............................] - ETA: 0s - loss: 0.5078 - acc: 0.7529
28/254 [==>...........................] - ETA: 0s - loss: 0.4771 - acc: 0.7768
42/254 [===>..........................] - ETA: 0s - loss: 0.4842 - acc: 0.7619
59/254 [=====>........................] - ETA: 0s - loss: 0.4703 - acc: 0.7678
73/254 [=======>......................] - ETA: 0s - loss: 0.4693 - acc: 0.7699
92/254 [=========>....................] - ETA: 0s - loss: 0.4670 - acc: 0.7674
111/254 [============>.................] - ETA: 0s - loss: 0.4691 - acc: 0.7644
128/254 [==============>...............] - ETA: 0s - loss: 0.4680 - acc: 0.7664
145/254 [================>.............] - ETA: 0s - loss: 0.4682 - acc: 0.7679
162/254 [==================>...........] - ETA: 0s - loss: 0.4689 - acc: 0.7698
180/254 [====================>.........] - ETA: 0s - loss: 0.4671 - acc: 0.7697
197/254 [======================>.......] - ETA: 0s - loss: 0.4677 - acc: 0.7701
216/254 [========================>.....] - ETA: 0s - loss: 0.4702 - acc: 0.7681
235/254 [==========================>...] - ETA: 0s - loss: 0.4733 - acc: 0.7638
252/254 [============================>.] - ETA: 0s - loss: 0.4750 - acc: 0.7655
254/254 [==============================] - 1s 3ms/step - loss: 0.4763 - acc: 0.7658
254/254 [==============================] - 1s 4ms/step - loss: 0.4763 - acc: 0.7658 - val_loss: 0.4845 - val_acc: 0.7496
Epoch 17/50
1/254 [..............................] - ETA: 0s - loss: 0.4050 - acc: 0.6000
14/254 [>.............................] - ETA: 0s - loss: 0.4461 - acc: 0.7393
32/254 [==>...........................] - ETA: 0s - loss: 0.4807 - acc: 0.7469
50/254 [====>.........................] - ETA: 0s - loss: 0.4861 - acc: 0.7420
68/254 [=======>......................] - ETA: 0s - loss: 0.4925 - acc: 0.7346
85/254 [=========>....................] - ETA: 0s - loss: 0.4966 - acc: 0.7400
103/254 [===========>..................] - ETA: 0s - loss: 0.4841 - acc: 0.7510
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140/254 [===============>..............] - ETA: 0s - loss: 0.4788 - acc: 0.7525
157/254 [=================>............] - ETA: 0s - loss: 0.4784 - acc: 0.7500
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245/254 [===========================>..] - ETA: 0s - loss: 0.4744 - acc: 0.7520
254/254 [==============================] - 1s 3ms/step - loss: 0.4749 - acc: 0.7534
254/254 [==============================] - 1s 4ms/step - loss: 0.4749 - acc: 0.7534 - val_loss: 0.4748 - val_acc: 0.7638
Epoch 18/50
1/254 [..............................] - ETA: 0s - loss: 0.3640 - acc: 0.7500
18/254 [=>............................] - ETA: 0s - loss: 0.4712 - acc: 0.7722
36/254 [===>..........................] - ETA: 0s - loss: 0.4711 - acc: 0.7639
52/254 [=====>........................] - ETA: 0s - loss: 0.4579 - acc: 0.7712
69/254 [=======>......................] - ETA: 0s - loss: 0.4455 - acc: 0.7790
87/254 [=========>....................] - ETA: 0s - loss: 0.4441 - acc: 0.7753
104/254 [===========>..................] - ETA: 0s - loss: 0.4435 - acc: 0.7750
116/254 [============>.................] - ETA: 0s - loss: 0.4506 - acc: 0.7772
133/254 [==============>...............] - ETA: 0s - loss: 0.4547 - acc: 0.7763
142/254 [===============>..............] - ETA: 0s - loss: 0.4556 - acc: 0.7739
158/254 [=================>............] - ETA: 0s - loss: 0.4537 - acc: 0.7725
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191/254 [=====================>........] - ETA: 0s - loss: 0.4571 - acc: 0.7686
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248/254 [============================>.] - ETA: 0s - loss: 0.4699 - acc: 0.7595
254/254 [==============================] - 1s 3ms/step - loss: 0.4723 - acc: 0.7589
254/254 [==============================] - 1s 5ms/step - loss: 0.4723 - acc: 0.7589 - val_loss: 0.4805 - val_acc: 0.7567
Epoch 19/50
1/254 [..............................] - ETA: 1s - loss: 0.6061 - acc: 0.7000
16/254 [>.............................] - ETA: 0s - loss: 0.4503 - acc: 0.7812
33/254 [==>...........................] - ETA: 0s - loss: 0.4485 - acc: 0.7606
51/254 [=====>........................] - ETA: 0s - loss: 0.4565 - acc: 0.7578
68/254 [=======>......................] - ETA: 0s - loss: 0.4743 - acc: 0.7449
86/254 [=========>....................] - ETA: 0s - loss: 0.4695 - acc: 0.7471
104/254 [===========>..................] - ETA: 0s - loss: 0.4708 - acc: 0.7471
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139/254 [===============>..............] - ETA: 0s - loss: 0.4693 - acc: 0.7489
156/254 [=================>............] - ETA: 0s - loss: 0.4699 - acc: 0.7519
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253/254 [============================>.] - ETA: 0s - loss: 0.4737 - acc: 0.7542
254/254 [==============================] - 1s 3ms/step - loss: 0.4735 - acc: 0.7542
254/254 [==============================] - 1s 4ms/step - loss: 0.4735 - acc: 0.7542 - val_loss: 0.4800 - val_acc: 0.7655
Epoch 20/50
1/254 [..............................] - ETA: 0s - loss: 0.3715 - acc: 0.9000
16/254 [>.............................] - ETA: 0s - loss: 0.4718 - acc: 0.7594
35/254 [===>..........................] - ETA: 0s - loss: 0.4826 - acc: 0.7671
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71/254 [=======>......................] - ETA: 0s - loss: 0.4715 - acc: 0.7521
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108/254 [===========>..................] - ETA: 0s - loss: 0.4844 - acc: 0.7528
126/254 [=============>................] - ETA: 0s - loss: 0.4794 - acc: 0.7472
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160/254 [=================>............] - ETA: 0s - loss: 0.4755 - acc: 0.7506
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195/254 [======================>.......] - ETA: 0s - loss: 0.4673 - acc: 0.7595
213/254 [========================>.....] - ETA: 0s - loss: 0.4678 - acc: 0.7585
226/254 [=========================>....] - ETA: 0s - loss: 0.4671 - acc: 0.7606
244/254 [===========================>..] - ETA: 0s - loss: 0.4683 - acc: 0.7611
245/254 [===========================>..] - ETA: 0s - loss: 0.4686 - acc: 0.7612
254/254 [==============================] - 1s 4ms/step - loss: 0.4694 - acc: 0.7587
254/254 [==============================] - 1s 5ms/step - loss: 0.4694 - acc: 0.7587 - val_loss: 0.4955 - val_acc: 0.7460
Epoch 21/50
1/254 [..............................] - ETA: 0s - loss: 0.4868 - acc: 0.7000
18/254 [=>............................] - ETA: 0s - loss: 0.5362 - acc: 0.6861
37/254 [===>..........................] - ETA: 0s - loss: 0.4935 - acc: 0.7311
55/254 [=====>........................] - ETA: 0s - loss: 0.4648 - acc: 0.7455
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90/254 [=========>....................] - ETA: 0s - loss: 0.4783 - acc: 0.7478
108/254 [===========>..................] - ETA: 0s - loss: 0.4742 - acc: 0.7491
126/254 [=============>................] - ETA: 0s - loss: 0.4826 - acc: 0.7429
143/254 [===============>..............] - ETA: 0s - loss: 0.4799 - acc: 0.7479
160/254 [=================>............] - ETA: 0s - loss: 0.4793 - acc: 0.7497
166/254 [==================>...........] - ETA: 0s - loss: 0.4809 - acc: 0.7512
178/254 [====================>.........] - ETA: 0s - loss: 0.4783 - acc: 0.7520
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225/254 [=========================>....] - ETA: 0s - loss: 0.4715 - acc: 0.7536
240/254 [===========================>..] - ETA: 0s - loss: 0.4717 - acc: 0.7548
254/254 [==============================] - 1s 3ms/step - loss: 0.4728 - acc: 0.7540
254/254 [==============================] - 1s 4ms/step - loss: 0.4728 - acc: 0.7540 - val_loss: 0.4918 - val_acc: 0.7442
Epoch 22/50
1/254 [..............................] - ETA: 0s - loss: 0.5315 - acc: 0.7500
19/254 [=>............................] - ETA: 0s - loss: 0.4511 - acc: 0.7632
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146/254 [================>.............] - ETA: 0s - loss: 0.4535 - acc: 0.7671
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170/254 [===================>..........] - ETA: 0s - loss: 0.4692 - acc: 0.7612
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217/254 [========================>.....] - ETA: 0s - loss: 0.4658 - acc: 0.7601
234/254 [==========================>...] - ETA: 0s - loss: 0.4682 - acc: 0.7605
251/254 [============================>.] - ETA: 0s - loss: 0.4694 - acc: 0.7598
254/254 [==============================] - 1s 3ms/step - loss: 0.4694 - acc: 0.7603
254/254 [==============================] - 1s 4ms/step - loss: 0.4694 - acc: 0.7603 - val_loss: 0.4717 - val_acc: 0.7709
Run completed: runs/2024-05-06T19-50-58Z
set.seed(1)
runs= runs[order(runs$metric_val_loss),]
runs
Data frame: 52 x 29
# ... with 42 more rows
# ... with 24 more columns:
# flag_nodes, flag_nodes2, flag_batch_size, flag_activation, flag_activation2,
# flag_learning_rate, flag_epochs, flag_dropout, flag_dropout2, epochs, epochs_completed,
# metrics, model, loss_function, optimizer, learning_rate, script, start, end, completed,
# output, source_code, context, type
set.seed(1)
runs[which.min(runs$metric_val_loss),]
$ run_dir : chr "runs/2024-05-06T19-50-08Z"
$ metric_loss : num 0.488
$ metric_acc : num 0.752
$ metric_val_loss : num 0.467
$ metric_val_acc : num 0.773
$ flag_nodes : int 64
$ flag_nodes2 : int 64
$ flag_batch_size : int 20
$ flag_activation : chr "sigmoid"
$ flag_activation2 : chr "sigmoid"
$ flag_learning_rate: num 0.01
$ flag_epochs : int 30
$ flag_dropout : num 0.5
$ flag_dropout2 : num 0.5
$ epochs : int 30
$ epochs_completed : int 30
$ metrics : chr "(metrics data frame)"
$ model : chr "(model summary)"
$ loss_function : chr "binary_crossentropy"
$ optimizer : chr "<keras.src.optimizers.adam.Adam object at 0x0000019AFA3CD910>"
$ learning_rate : num 0.001
$ script : chr "Projectscript.R"
$ start : POSIXct[1:1], format: "2024-05-06 19:50:08"
$ end : POSIXct[1:1], format: "2024-05-06 19:50:44"
$ completed : logi TRUE
$ output : chr "(script ouptut)"
$ source_code : chr "(source archive)"
$ context : chr "local"
$ type : chr "training"
set.seed(1)
view_run(runs[which.min(runs$metric_val_loss),])
Warning: argument 'compressed' is ignored for the internal method
Lets train our best model nodes1 - 64 nodes2-64 epochs-30 batch_size=20 activation function1 = “sigmoid” activation function2 = “sigmoid” dropout rate1 = 0.5 dropout rate2 = 0.5 learning rate = 0.001
ts$Churn=as.numeric(ts$Churn)-1
Converting Ordered columns to numeric
ts$tenure <- as.numeric(factor(ts$tenure, levels =
c("0-1 years", "1-2 years", "2-3years", "3-4 years", "4-5 years", "5-6years" ), ordered = TRUE))-1
ts_labels<-ts$Churn
ts= data.frame(one_hot(data.table(ts)))
ts$Churn<-NULL
numeric_cols<-names(td[sapply(td, is.numeric) & !sapply(td, is.integer)])
col_means_train <- attr(scale(td[,numeric_cols]), "scaled:center")
col_stddevs_train <- attr( scale(td[,numeric_cols]), "scaled:scale")
td[numeric_cols]= scale(td[numeric_cols])
ts[numeric_cols]<- scale(ts[numeric_cols], center = col_means_train,
scale = col_stddevs_train)
set.seed(1)
model_nn <- keras_model_sequential() %>%
layer_dense(units = 64, activation = "sigmoid",
input_shape = dim(td)[2]) %>%
layer_dropout(0.5)%>%
layer_dense(units = 64,activation="sigmoid" ) %>%
layer_dropout(0.5)%>%
layer_dense(units = 1, activation="sigmoid")
model_nn
Model: "sequential"
_________________________________________________________________________________________________________
Layer (type) Output Shape Param #
=========================================================================================================
dense_2 (Dense) (None, 64) 3008
dropout_1 (Dropout) (None, 64) 0
dense_1 (Dense) (None, 64) 4160
dropout (Dropout) (None, 64) 0
dense (Dense) (None, 1) 65
=========================================================================================================
Total params: 7233 (28.25 KB)
Trainable params: 7233 (28.25 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________________________________________________
set.seed(1)
model_nn %>% compile(optimizer = optimizer_adam(lr = 0.001), loss = "binary_crossentropy", metrics = "acc")
WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
model_nn %>% fit(
as.matrix(td), labels, epochs = 30, batch_size = 20, validation_data=list(as.matrix(ts), ts_labels))
Epoch 1/30
1/282 [..............................] - ETA: 5:03 - loss: 0.6087 - acc: 0.7000
22/282 [=>............................] - ETA: 0s - loss: 0.6559 - acc: 0.6545
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101/282 [=========>....................] - ETA: 0s - loss: 0.6240 - acc: 0.6955
122/282 [===========>..................] - ETA: 0s - loss: 0.6251 - acc: 0.6914
144/282 [==============>...............] - ETA: 0s - loss: 0.6125 - acc: 0.6979
150/282 [==============>...............] - ETA: 0s - loss: 0.6118 - acc: 0.6980
170/282 [=================>............] - ETA: 0s - loss: 0.6049 - acc: 0.7006
188/282 [===================>..........] - ETA: 0s - loss: 0.5975 - acc: 0.7051
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275/282 [============================>.] - ETA: 0s - loss: 0.5765 - acc: 0.7127
282/282 [==============================] - 2s 3ms/step - loss: 0.5750 - acc: 0.7127
282/282 [==============================] - 3s 6ms/step - loss: 0.5750 - acc: 0.7127 - val_loss: 0.4700 - val_acc: 0.7690
Epoch 2/30
1/282 [..............................] - ETA: 6s - loss: 0.5757 - acc: 0.6500
19/282 [=>............................] - ETA: 0s - loss: 0.5008 - acc: 0.7316
39/282 [===>..........................] - ETA: 0s - loss: 0.4732 - acc: 0.7577
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129/282 [============>.................] - ETA: 0s - loss: 0.4903 - acc: 0.7500
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222/282 [======================>.......] - ETA: 0s - loss: 0.4795 - acc: 0.7615
242/282 [========================>.....] - ETA: 0s - loss: 0.4770 - acc: 0.7638
262/282 [==========================>...] - ETA: 0s - loss: 0.4763 - acc: 0.7649
282/282 [==============================] - 1s 3ms/step - loss: 0.4714 - acc: 0.7679
282/282 [==============================] - 1s 4ms/step - loss: 0.4714 - acc: 0.7679 - val_loss: 0.4553 - val_acc: 0.7711
Epoch 3/30
1/282 [..............................] - ETA: 1s - loss: 0.2920 - acc: 0.9000
22/282 [=>............................] - ETA: 0s - loss: 0.4753 - acc: 0.7591
42/282 [===>..........................] - ETA: 0s - loss: 0.4705 - acc: 0.7655
65/282 [=====>........................] - ETA: 0s - loss: 0.4574 - acc: 0.7723
85/282 [========>.....................] - ETA: 0s - loss: 0.4618 - acc: 0.7694
101/282 [=========>....................] - ETA: 0s - loss: 0.4615 - acc: 0.7678
112/282 [==========>...................] - ETA: 0s - loss: 0.4615 - acc: 0.7634
130/282 [============>.................] - ETA: 0s - loss: 0.4544 - acc: 0.7708
146/282 [==============>...............] - ETA: 0s - loss: 0.4544 - acc: 0.7716
147/282 [==============>...............] - ETA: 0s - loss: 0.4561 - acc: 0.7718
168/282 [================>.............] - ETA: 0s - loss: 0.4556 - acc: 0.7729
190/282 [===================>..........] - ETA: 0s - loss: 0.4567 - acc: 0.7711
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229/282 [=======================>......] - ETA: 0s - loss: 0.4554 - acc: 0.7747
251/282 [=========================>....] - ETA: 0s - loss: 0.4560 - acc: 0.7753
270/282 [===========================>..] - ETA: 0s - loss: 0.4558 - acc: 0.7746
282/282 [==============================] - 1s 3ms/step - loss: 0.4558 - acc: 0.7757
282/282 [==============================] - 1s 4ms/step - loss: 0.4558 - acc: 0.7757 - val_loss: 0.4516 - val_acc: 0.7768
Epoch 4/30
1/282 [..............................] - ETA: 1s - loss: 0.3434 - acc: 0.8000
22/282 [=>............................] - ETA: 0s - loss: 0.4481 - acc: 0.7773
44/282 [===>..........................] - ETA: 0s - loss: 0.4239 - acc: 0.8091
63/282 [=====>........................] - ETA: 0s - loss: 0.4329 - acc: 0.7992
69/282 [======>.......................] - ETA: 0s - loss: 0.4323 - acc: 0.7957
89/282 [========>.....................] - ETA: 0s - loss: 0.4363 - acc: 0.7938
97/282 [=========>....................] - ETA: 0s - loss: 0.4399 - acc: 0.7892
118/282 [===========>..................] - ETA: 0s - loss: 0.4427 - acc: 0.7856
134/282 [=============>................] - ETA: 0s - loss: 0.4402 - acc: 0.7858
155/282 [===============>..............] - ETA: 0s - loss: 0.4428 - acc: 0.7842
177/282 [=================>............] - ETA: 0s - loss: 0.4383 - acc: 0.7870
198/282 [====================>.........] - ETA: 0s - loss: 0.4407 - acc: 0.7831
220/282 [======================>.......] - ETA: 0s - loss: 0.4413 - acc: 0.7832
242/282 [========================>.....] - ETA: 0s - loss: 0.4415 - acc: 0.7847
265/282 [===========================>..] - ETA: 0s - loss: 0.4381 - acc: 0.7885
282/282 [==============================] - 1s 3ms/step - loss: 0.4410 - acc: 0.7850
282/282 [==============================] - 1s 4ms/step - loss: 0.4410 - acc: 0.7850 - val_loss: 0.4518 - val_acc: 0.7733
Epoch 5/30
1/282 [..............................] - ETA: 1s - loss: 0.6238 - acc: 0.6500
19/282 [=>............................] - ETA: 0s - loss: 0.4263 - acc: 0.7868
27/282 [=>............................] - ETA: 1s - loss: 0.4323 - acc: 0.7907
49/282 [====>.........................] - ETA: 0s - loss: 0.4237 - acc: 0.7949
67/282 [======>.......................] - ETA: 0s - loss: 0.4238 - acc: 0.7955
89/282 [========>.....................] - ETA: 0s - loss: 0.4405 - acc: 0.7888
112/282 [==========>...................] - ETA: 0s - loss: 0.4378 - acc: 0.7906
132/282 [=============>................] - ETA: 0s - loss: 0.4418 - acc: 0.7867
154/282 [===============>..............] - ETA: 0s - loss: 0.4421 - acc: 0.7883
174/282 [=================>............] - ETA: 0s - loss: 0.4433 - acc: 0.7871
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217/282 [======================>.......] - ETA: 0s - loss: 0.4406 - acc: 0.7880
238/282 [========================>.....] - ETA: 0s - loss: 0.4397 - acc: 0.7887
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282/282 [==============================] - 1s 3ms/step - loss: 0.4403 - acc: 0.7876
282/282 [==============================] - 1s 4ms/step - loss: 0.4403 - acc: 0.7876 - val_loss: 0.4500 - val_acc: 0.7797
Epoch 6/30
1/282 [..............................] - ETA: 11s - loss: 0.5105 - acc: 0.7500
6/282 [..............................] - ETA: 2s - loss: 0.5406 - acc: 0.7500
28/282 [=>............................] - ETA: 1s - loss: 0.4439 - acc: 0.7893
46/282 [===>..........................] - ETA: 0s - loss: 0.4225 - acc: 0.8065
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244/282 [========================>.....] - ETA: 0s - loss: 0.4262 - acc: 0.8004
265/282 [===========================>..] - ETA: 0s - loss: 0.4271 - acc: 0.7998
282/282 [==============================] - 1s 3ms/step - loss: 0.4321 - acc: 0.7965
282/282 [==============================] - 1s 4ms/step - loss: 0.4321 - acc: 0.7965 - val_loss: 0.4507 - val_acc: 0.7726
Epoch 7/30
1/282 [..............................] - ETA: 9s - loss: 0.4941 - acc: 0.7500
22/282 [=>............................] - ETA: 0s - loss: 0.4558 - acc: 0.7818
26/282 [=>............................] - ETA: 1s - loss: 0.4396 - acc: 0.7942
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129/282 [============>.................] - ETA: 0s - loss: 0.4274 - acc: 0.7992
150/282 [==============>...............] - ETA: 0s - loss: 0.4324 - acc: 0.7960
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191/282 [===================>..........] - ETA: 0s - loss: 0.4316 - acc: 0.7995
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234/282 [=======================>......] - ETA: 0s - loss: 0.4345 - acc: 0.7955
254/282 [==========================>...] - ETA: 0s - loss: 0.4362 - acc: 0.7945
274/282 [============================>.] - ETA: 0s - loss: 0.4361 - acc: 0.7962
282/282 [==============================] - 1s 3ms/step - loss: 0.4357 - acc: 0.7963
282/282 [==============================] - 1s 4ms/step - loss: 0.4357 - acc: 0.7963 - val_loss: 0.4477 - val_acc: 0.7783
Epoch 8/30
1/282 [..............................] - ETA: 0s - loss: 0.7099 - acc: 0.5500
20/282 [=>............................] - ETA: 0s - loss: 0.4537 - acc: 0.7875
41/282 [===>..........................] - ETA: 0s - loss: 0.4235 - acc: 0.8049
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265/282 [===========================>..] - ETA: 0s - loss: 0.4323 - acc: 0.8000
282/282 [==============================] - 1s 3ms/step - loss: 0.4321 - acc: 0.7993
282/282 [==============================] - 1s 4ms/step - loss: 0.4321 - acc: 0.7993 - val_loss: 0.4475 - val_acc: 0.7783
Epoch 9/30
1/282 [..............................] - ETA: 10s - loss: 0.4215 - acc: 0.6500
22/282 [=>............................] - ETA: 0s - loss: 0.3986 - acc: 0.8205
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155/282 [===============>..............] - ETA: 0s - loss: 0.4224 - acc: 0.7990
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274/282 [============================>.] - ETA: 0s - loss: 0.4291 - acc: 0.7962
282/282 [==============================] - 1s 3ms/step - loss: 0.4296 - acc: 0.7972
282/282 [==============================] - 1s 4ms/step - loss: 0.4296 - acc: 0.7972 - val_loss: 0.4477 - val_acc: 0.7818
Epoch 10/30
1/282 [..............................] - ETA: 0s - loss: 0.3011 - acc: 0.8500
21/282 [=>............................] - ETA: 0s - loss: 0.4258 - acc: 0.8262
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101/282 [=========>....................] - ETA: 0s - loss: 0.4455 - acc: 0.7980
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144/282 [==============>...............] - ETA: 0s - loss: 0.4498 - acc: 0.7868
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185/282 [==================>...........] - ETA: 0s - loss: 0.4451 - acc: 0.7919
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250/282 [=========================>....] - ETA: 0s - loss: 0.4349 - acc: 0.7948
268/282 [===========================>..] - ETA: 0s - loss: 0.4335 - acc: 0.7959
282/282 [==============================] - 1s 3ms/step - loss: 0.4332 - acc: 0.7960
282/282 [==============================] - 1s 4ms/step - loss: 0.4332 - acc: 0.7960 - val_loss: 0.4487 - val_acc: 0.7747
Epoch 11/30
1/282 [..............................] - ETA: 1s - loss: 0.4957 - acc: 0.8000
22/282 [=>............................] - ETA: 0s - loss: 0.4544 - acc: 0.7727
45/282 [===>..........................] - ETA: 0s - loss: 0.4280 - acc: 0.7889
67/282 [======>.......................] - ETA: 0s - loss: 0.4145 - acc: 0.7985
89/282 [========>.....................] - ETA: 0s - loss: 0.4038 - acc: 0.8067
110/282 [==========>...................] - ETA: 0s - loss: 0.4063 - acc: 0.8045
130/282 [============>.................] - ETA: 0s - loss: 0.4179 - acc: 0.8012
152/282 [===============>..............] - ETA: 0s - loss: 0.4173 - acc: 0.8026
173/282 [=================>............] - ETA: 0s - loss: 0.4198 - acc: 0.8000
191/282 [===================>..........] - ETA: 0s - loss: 0.4255 - acc: 0.7992
201/282 [====================>.........] - ETA: 0s - loss: 0.4257 - acc: 0.7995
221/282 [======================>.......] - ETA: 0s - loss: 0.4304 - acc: 0.7957
239/282 [========================>.....] - ETA: 0s - loss: 0.4295 - acc: 0.7964
258/282 [==========================>...] - ETA: 0s - loss: 0.4315 - acc: 0.7932
278/282 [============================>.] - ETA: 0s - loss: 0.4303 - acc: 0.7953
282/282 [==============================] - 1s 3ms/step - loss: 0.4302 - acc: 0.7949
282/282 [==============================] - 1s 4ms/step - loss: 0.4302 - acc: 0.7949 - val_loss: 0.4462 - val_acc: 0.7790
Epoch 12/30
1/282 [..............................] - ETA: 0s - loss: 0.4419 - acc: 0.7500
22/282 [=>............................] - ETA: 0s - loss: 0.4308 - acc: 0.8114
43/282 [===>..........................] - ETA: 0s - loss: 0.4119 - acc: 0.8140
64/282 [=====>........................] - ETA: 0s - loss: 0.4244 - acc: 0.8062
83/282 [=======>......................] - ETA: 0s - loss: 0.4242 - acc: 0.8078
93/282 [========>.....................] - ETA: 0s - loss: 0.4224 - acc: 0.8075
114/282 [===========>..................] - ETA: 0s - loss: 0.4246 - acc: 0.8004
125/282 [============>.................] - ETA: 0s - loss: 0.4224 - acc: 0.8016
146/282 [==============>...............] - ETA: 0s - loss: 0.4304 - acc: 0.7959
167/282 [================>.............] - ETA: 0s - loss: 0.4309 - acc: 0.7970
188/282 [===================>..........] - ETA: 0s - loss: 0.4295 - acc: 0.7973
209/282 [=====================>........] - ETA: 0s - loss: 0.4278 - acc: 0.7983
228/282 [=======================>......] - ETA: 0s - loss: 0.4262 - acc: 0.7998
247/282 [=========================>....] - ETA: 0s - loss: 0.4302 - acc: 0.7986
267/282 [===========================>..] - ETA: 0s - loss: 0.4295 - acc: 0.7983
282/282 [==============================] - 1s 3ms/step - loss: 0.4279 - acc: 0.8000
282/282 [==============================] - 1s 4ms/step - loss: 0.4279 - acc: 0.8000 - val_loss: 0.4477 - val_acc: 0.7818
Epoch 13/30
1/282 [..............................] - ETA: 1s - loss: 0.3450 - acc: 0.7500
22/282 [=>............................] - ETA: 0s - loss: 0.4176 - acc: 0.7977
44/282 [===>..........................] - ETA: 0s - loss: 0.4418 - acc: 0.7818
63/282 [=====>........................] - ETA: 0s - loss: 0.4504 - acc: 0.7833
69/282 [======>.......................] - ETA: 0s - loss: 0.4506 - acc: 0.7841
89/282 [========>.....................] - ETA: 0s - loss: 0.4477 - acc: 0.7882
110/282 [==========>...................] - ETA: 0s - loss: 0.4521 - acc: 0.7900
126/282 [============>.................] - ETA: 0s - loss: 0.4506 - acc: 0.7873
145/282 [==============>...............] - ETA: 0s - loss: 0.4444 - acc: 0.7921
163/282 [================>.............] - ETA: 0s - loss: 0.4439 - acc: 0.7896
184/282 [==================>...........] - ETA: 0s - loss: 0.4380 - acc: 0.7948
203/282 [====================>.........] - ETA: 0s - loss: 0.4304 - acc: 0.8000
222/282 [======================>.......] - ETA: 0s - loss: 0.4294 - acc: 0.8018
243/282 [========================>.....] - ETA: 0s - loss: 0.4296 - acc: 0.8006
263/282 [==========================>...] - ETA: 0s - loss: 0.4288 - acc: 0.8002
282/282 [==============================] - 1s 3ms/step - loss: 0.4279 - acc: 0.8013
282/282 [==============================] - 1s 4ms/step - loss: 0.4279 - acc: 0.8013 - val_loss: 0.4480 - val_acc: 0.7761
Epoch 14/30
1/282 [..............................] - ETA: 1s - loss: 0.5020 - acc: 0.6500
22/282 [=>............................] - ETA: 0s - loss: 0.4026 - acc: 0.8159
43/282 [===>..........................] - ETA: 0s - loss: 0.4188 - acc: 0.8070
54/282 [====>.........................] - ETA: 0s - loss: 0.4253 - acc: 0.8000
74/282 [======>.......................] - ETA: 0s - loss: 0.4290 - acc: 0.7919
84/282 [=======>......................] - ETA: 0s - loss: 0.4318 - acc: 0.7940
104/282 [==========>...................] - ETA: 0s - loss: 0.4370 - acc: 0.7942
123/282 [============>.................] - ETA: 0s - loss: 0.4413 - acc: 0.7919
145/282 [==============>...............] - ETA: 0s - loss: 0.4391 - acc: 0.7941
165/282 [================>.............] - ETA: 0s - loss: 0.4371 - acc: 0.7955
185/282 [==================>...........] - ETA: 0s - loss: 0.4380 - acc: 0.7957
205/282 [====================>.........] - ETA: 0s - loss: 0.4355 - acc: 0.7968
225/282 [======================>.......] - ETA: 0s - loss: 0.4308 - acc: 0.8004
244/282 [========================>.....] - ETA: 0s - loss: 0.4320 - acc: 0.7992
266/282 [===========================>..] - ETA: 0s - loss: 0.4306 - acc: 0.8002
282/282 [==============================] - 1s 3ms/step - loss: 0.4295 - acc: 0.8002
282/282 [==============================] - 1s 4ms/step - loss: 0.4295 - acc: 0.8002 - val_loss: 0.4469 - val_acc: 0.7839
Epoch 15/30
1/282 [..............................] - ETA: 1s - loss: 0.4448 - acc: 0.7000
21/282 [=>............................] - ETA: 0s - loss: 0.4482 - acc: 0.7857
41/282 [===>..........................] - ETA: 0s - loss: 0.4249 - acc: 0.8061
47/282 [====>.........................] - ETA: 0s - loss: 0.4302 - acc: 0.8032
68/282 [======>.......................] - ETA: 0s - loss: 0.4240 - acc: 0.8118
89/282 [========>.....................] - ETA: 0s - loss: 0.4194 - acc: 0.8124
107/282 [==========>...................] - ETA: 0s - loss: 0.4179 - acc: 0.8145
129/282 [============>.................] - ETA: 0s - loss: 0.4251 - acc: 0.8124
149/282 [==============>...............] - ETA: 0s - loss: 0.4279 - acc: 0.8054
169/282 [================>.............] - ETA: 0s - loss: 0.4212 - acc: 0.8095
188/282 [===================>..........] - ETA: 0s - loss: 0.4211 - acc: 0.8090
210/282 [=====================>........] - ETA: 0s - loss: 0.4209 - acc: 0.8069
232/282 [=======================>......] - ETA: 0s - loss: 0.4189 - acc: 0.8060
250/282 [=========================>....] - ETA: 0s - loss: 0.4184 - acc: 0.8054
272/282 [===========================>..] - ETA: 0s - loss: 0.4228 - acc: 0.8033
282/282 [==============================] - 1s 3ms/step - loss: 0.4242 - acc: 0.8023
282/282 [==============================] - 1s 4ms/step - loss: 0.4242 - acc: 0.8023 - val_loss: 0.4461 - val_acc: 0.7747
Epoch 16/30
1/282 [..............................] - ETA: 10s - loss: 0.6687 - acc: 0.6500
22/282 [=>............................] - ETA: 1s - loss: 0.4834 - acc: 0.7614
44/282 [===>..........................] - ETA: 1s - loss: 0.4601 - acc: 0.7830
63/282 [=====>........................] - ETA: 1s - loss: 0.4493 - acc: 0.7929
85/282 [========>.....................] - ETA: 0s - loss: 0.4401 - acc: 0.7971
103/282 [=========>....................] - ETA: 0s - loss: 0.4354 - acc: 0.7966
121/282 [===========>..................] - ETA: 0s - loss: 0.4307 - acc: 0.7975
139/282 [=============>................] - ETA: 0s - loss: 0.4331 - acc: 0.7953
156/282 [===============>..............] - ETA: 0s - loss: 0.4319 - acc: 0.7978
178/282 [=================>............] - ETA: 0s - loss: 0.4299 - acc: 0.7986
198/282 [====================>.........] - ETA: 0s - loss: 0.4308 - acc: 0.7947
219/282 [======================>.......] - ETA: 0s - loss: 0.4288 - acc: 0.7975
240/282 [========================>.....] - ETA: 0s - loss: 0.4270 - acc: 0.7983
261/282 [==========================>...] - ETA: 0s - loss: 0.4286 - acc: 0.7969
281/282 [============================>.] - ETA: 0s - loss: 0.4284 - acc: 0.7964
282/282 [==============================] - 1s 3ms/step - loss: 0.4280 - acc: 0.7965
282/282 [==============================] - 1s 4ms/step - loss: 0.4280 - acc: 0.7965 - val_loss: 0.4450 - val_acc: 0.7783
Epoch 17/30
1/282 [..............................] - ETA: 1s - loss: 0.3888 - acc: 0.9000
23/282 [=>............................] - ETA: 0s - loss: 0.4000 - acc: 0.8152
45/282 [===>..........................] - ETA: 0s - loss: 0.4045 - acc: 0.8144
67/282 [======>.......................] - ETA: 0s - loss: 0.4024 - acc: 0.8149
89/282 [========>.....................] - ETA: 0s - loss: 0.4157 - acc: 0.8101
105/282 [==========>...................] - ETA: 0s - loss: 0.4200 - acc: 0.8043
126/282 [============>.................] - ETA: 0s - loss: 0.4191 - acc: 0.8044
148/282 [==============>...............] - ETA: 0s - loss: 0.4192 - acc: 0.8051
170/282 [=================>............] - ETA: 0s - loss: 0.4133 - acc: 0.8071
192/282 [===================>..........] - ETA: 0s - loss: 0.4174 - acc: 0.8031
214/282 [=====================>........] - ETA: 0s - loss: 0.4226 - acc: 0.8009
232/282 [=======================>......] - ETA: 0s - loss: 0.4246 - acc: 0.8004
252/282 [=========================>....] - ETA: 0s - loss: 0.4260 - acc: 0.8004
271/282 [===========================>..] - ETA: 0s - loss: 0.4254 - acc: 0.8011
282/282 [==============================] - 1s 3ms/step - loss: 0.4233 - acc: 0.8018
282/282 [==============================] - 1s 4ms/step - loss: 0.4233 - acc: 0.8018 - val_loss: 0.4452 - val_acc: 0.7783
Epoch 18/30
1/282 [..............................] - ETA: 11s - loss: 0.5739 - acc: 0.6500
22/282 [=>............................] - ETA: 0s - loss: 0.4303 - acc: 0.7750
36/282 [==>...........................] - ETA: 0s - loss: 0.4322 - acc: 0.7944
48/282 [====>.........................] - ETA: 0s - loss: 0.4368 - acc: 0.7896
62/282 [=====>........................] - ETA: 0s - loss: 0.4306 - acc: 0.7927
83/282 [=======>......................] - ETA: 0s - loss: 0.4181 - acc: 0.8018
104/282 [==========>...................] - ETA: 0s - loss: 0.4200 - acc: 0.8005
122/282 [===========>..................] - ETA: 0s - loss: 0.4224 - acc: 0.7980
141/282 [==============>...............] - ETA: 0s - loss: 0.4242 - acc: 0.7979
162/282 [================>.............] - ETA: 0s - loss: 0.4317 - acc: 0.7917
183/282 [==================>...........] - ETA: 0s - loss: 0.4313 - acc: 0.7923
203/282 [====================>.........] - ETA: 0s - loss: 0.4315 - acc: 0.7933
225/282 [======================>.......] - ETA: 0s - loss: 0.4293 - acc: 0.7960
247/282 [=========================>....] - ETA: 0s - loss: 0.4247 - acc: 0.7998
255/282 [==========================>...] - ETA: 0s - loss: 0.4239 - acc: 0.8002
276/282 [============================>.] - ETA: 0s - loss: 0.4264 - acc: 0.7984
282/282 [==============================] - 1s 3ms/step - loss: 0.4268 - acc: 0.7977
282/282 [==============================] - 1s 4ms/step - loss: 0.4268 - acc: 0.7977 - val_loss: 0.4458 - val_acc: 0.7775
Epoch 19/30
1/282 [..............................] - ETA: 1s - loss: 0.4727 - acc: 0.8500
22/282 [=>............................] - ETA: 0s - loss: 0.3881 - acc: 0.8386
44/282 [===>..........................] - ETA: 0s - loss: 0.4281 - acc: 0.8125
66/282 [======>.......................] - ETA: 0s - loss: 0.4166 - acc: 0.8144
88/282 [========>.....................] - ETA: 0s - loss: 0.4132 - acc: 0.8142
110/282 [==========>...................] - ETA: 0s - loss: 0.4194 - acc: 0.8114
128/282 [============>.................] - ETA: 0s - loss: 0.4185 - acc: 0.8082
148/282 [==============>...............] - ETA: 0s - loss: 0.4187 - acc: 0.8084
169/282 [================>.............] - ETA: 0s - loss: 0.4232 - acc: 0.8059
189/282 [===================>..........] - ETA: 0s - loss: 0.4254 - acc: 0.8053
206/282 [====================>.........] - ETA: 0s - loss: 0.4248 - acc: 0.8056
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236/282 [========================>.....] - ETA: 0s - loss: 0.4250 - acc: 0.8021
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258/282 [==========================>...] - ETA: 0s - loss: 0.4229 - acc: 0.8041
279/282 [============================>.] - ETA: 0s - loss: 0.4224 - acc: 0.8036
282/282 [==============================] - 1s 3ms/step - loss: 0.4220 - acc: 0.8041
282/282 [==============================] - 1s 4ms/step - loss: 0.4220 - acc: 0.8041 - val_loss: 0.4458 - val_acc: 0.7754
Epoch 20/30
1/282 [..............................] - ETA: 1s - loss: 0.5162 - acc: 0.7500
23/282 [=>............................] - ETA: 0s - loss: 0.4554 - acc: 0.7870
42/282 [===>..........................] - ETA: 0s - loss: 0.4501 - acc: 0.7857
63/282 [=====>........................] - ETA: 0s - loss: 0.4519 - acc: 0.7833
85/282 [========>.....................] - ETA: 0s - loss: 0.4425 - acc: 0.7871
105/282 [==========>...................] - ETA: 0s - loss: 0.4431 - acc: 0.7900
125/282 [============>.................] - ETA: 0s - loss: 0.4380 - acc: 0.7948
136/282 [=============>................] - ETA: 0s - loss: 0.4343 - acc: 0.7960
146/282 [==============>...............] - ETA: 0s - loss: 0.4318 - acc: 0.7979
159/282 [===============>..............] - ETA: 0s - loss: 0.4288 - acc: 0.8006
179/282 [==================>...........] - ETA: 0s - loss: 0.4257 - acc: 0.8025
200/282 [====================>.........] - ETA: 0s - loss: 0.4243 - acc: 0.8033
221/282 [======================>.......] - ETA: 0s - loss: 0.4238 - acc: 0.8038
239/282 [========================>.....] - ETA: 0s - loss: 0.4205 - acc: 0.8048
261/282 [==========================>...] - ETA: 0s - loss: 0.4211 - acc: 0.8054
279/282 [============================>.] - ETA: 0s - loss: 0.4213 - acc: 0.8047
282/282 [==============================] - 1s 3ms/step - loss: 0.4234 - acc: 0.8038
282/282 [==============================] - 1s 4ms/step - loss: 0.4234 - acc: 0.8038 - val_loss: 0.4448 - val_acc: 0.7804
Epoch 21/30
1/282 [..............................] - ETA: 1s - loss: 0.4058 - acc: 0.8000
21/282 [=>............................] - ETA: 0s - loss: 0.4418 - acc: 0.7881
43/282 [===>..........................] - ETA: 0s - loss: 0.4368 - acc: 0.7953
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112/282 [==========>...................] - ETA: 0s - loss: 0.4262 - acc: 0.7973
135/282 [=============>................] - ETA: 0s - loss: 0.4234 - acc: 0.7981
144/282 [==============>...............] - ETA: 0s - loss: 0.4235 - acc: 0.7965
163/282 [================>.............] - ETA: 0s - loss: 0.4256 - acc: 0.7963
178/282 [=================>............] - ETA: 0s - loss: 0.4241 - acc: 0.7975
200/282 [====================>.........] - ETA: 0s - loss: 0.4203 - acc: 0.7985
219/282 [======================>.......] - ETA: 0s - loss: 0.4154 - acc: 0.8034
239/282 [========================>.....] - ETA: 0s - loss: 0.4158 - acc: 0.8044
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274/282 [============================>.] - ETA: 0s - loss: 0.4163 - acc: 0.8047
282/282 [==============================] - 1s 3ms/step - loss: 0.4204 - acc: 0.8011
282/282 [==============================] - 1s 4ms/step - loss: 0.4204 - acc: 0.8011 - val_loss: 0.4455 - val_acc: 0.7733
Epoch 22/30
1/282 [..............................] - ETA: 0s - loss: 0.5059 - acc: 0.7500
21/282 [=>............................] - ETA: 0s - loss: 0.3873 - acc: 0.8024
39/282 [===>..........................] - ETA: 0s - loss: 0.4111 - acc: 0.8077
57/282 [=====>........................] - ETA: 0s - loss: 0.4045 - acc: 0.8149
66/282 [======>.......................] - ETA: 0s - loss: 0.4101 - acc: 0.8106
83/282 [=======>......................] - ETA: 0s - loss: 0.4194 - acc: 0.8030
104/282 [==========>...................] - ETA: 0s - loss: 0.4296 - acc: 0.7990
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142/282 [==============>...............] - ETA: 0s - loss: 0.4294 - acc: 0.7989
161/282 [================>.............] - ETA: 0s - loss: 0.4257 - acc: 0.8037
182/282 [==================>...........] - ETA: 0s - loss: 0.4156 - acc: 0.8110
203/282 [====================>.........] - ETA: 0s - loss: 0.4175 - acc: 0.8091
224/282 [======================>.......] - ETA: 0s - loss: 0.4182 - acc: 0.8085
247/282 [=========================>....] - ETA: 0s - loss: 0.4212 - acc: 0.8073
264/282 [===========================>..] - ETA: 0s - loss: 0.4242 - acc: 0.8061
282/282 [==============================] - 1s 3ms/step - loss: 0.4247 - acc: 0.8046
282/282 [==============================] - 1s 4ms/step - loss: 0.4247 - acc: 0.8046 - val_loss: 0.4424 - val_acc: 0.7775
Epoch 23/30
1/282 [..............................] - ETA: 11s - loss: 0.6701 - acc: 0.6000
17/282 [>.............................] - ETA: 0s - loss: 0.4368 - acc: 0.7882
39/282 [===>..........................] - ETA: 0s - loss: 0.4242 - acc: 0.8013
46/282 [===>..........................] - ETA: 0s - loss: 0.4258 - acc: 0.7989
65/282 [=====>........................] - ETA: 0s - loss: 0.4157 - acc: 0.8092
86/282 [========>.....................] - ETA: 0s - loss: 0.4158 - acc: 0.8070
105/282 [==========>...................] - ETA: 0s - loss: 0.4199 - acc: 0.8062
126/282 [============>.................] - ETA: 0s - loss: 0.4235 - acc: 0.8063
145/282 [==============>...............] - ETA: 0s - loss: 0.4229 - acc: 0.8076
166/282 [================>.............] - ETA: 0s - loss: 0.4201 - acc: 0.8087
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227/282 [=======================>......] - ETA: 0s - loss: 0.4219 - acc: 0.8057
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272/282 [===========================>..] - ETA: 0s - loss: 0.4206 - acc: 0.8070
282/282 [==============================] - 1s 3ms/step - loss: 0.4198 - acc: 0.8066
282/282 [==============================] - 1s 5ms/step - loss: 0.4198 - acc: 0.8066 - val_loss: 0.4443 - val_acc: 0.7811
Epoch 24/30
1/282 [..............................] - ETA: 1s - loss: 0.3888 - acc: 0.7500
21/282 [=>............................] - ETA: 0s - loss: 0.3901 - acc: 0.8095
44/282 [===>..........................] - ETA: 0s - loss: 0.3834 - acc: 0.8182
66/282 [======>.......................] - ETA: 0s - loss: 0.4119 - acc: 0.8068
88/282 [========>.....................] - ETA: 0s - loss: 0.4146 - acc: 0.8051
109/282 [==========>...................] - ETA: 0s - loss: 0.4131 - acc: 0.8032
130/282 [============>.................] - ETA: 0s - loss: 0.4175 - acc: 0.7988
151/282 [===============>..............] - ETA: 0s - loss: 0.4223 - acc: 0.7957
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204/282 [====================>.........] - ETA: 0s - loss: 0.4224 - acc: 0.7988
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263/282 [==========================>...] - ETA: 0s - loss: 0.4249 - acc: 0.7990
274/282 [============================>.] - ETA: 0s - loss: 0.4251 - acc: 0.7978
282/282 [==============================] - 1s 3ms/step - loss: 0.4255 - acc: 0.7990
282/282 [==============================] - 1s 4ms/step - loss: 0.4255 - acc: 0.7990 - val_loss: 0.4428 - val_acc: 0.7818
Epoch 25/30
1/282 [..............................] - ETA: 1s - loss: 0.5032 - acc: 0.7500
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282/282 [==============================] - 1s 3ms/step - loss: 0.4203 - acc: 0.8059
282/282 [==============================] - 1s 4ms/step - loss: 0.4203 - acc: 0.8059 - val_loss: 0.4421 - val_acc: 0.7790
Epoch 26/30
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282/282 [==============================] - 1s 2ms/step - loss: 0.4190 - acc: 0.8038
282/282 [==============================] - 1s 4ms/step - loss: 0.4190 - acc: 0.8038 - val_loss: 0.4434 - val_acc: 0.7790
Epoch 27/30
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282/282 [==============================] - 1s 3ms/step - loss: 0.4220 - acc: 0.8031
282/282 [==============================] - 1s 4ms/step - loss: 0.4220 - acc: 0.8031 - val_loss: 0.4438 - val_acc: 0.7804
Epoch 28/30
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282/282 [==============================] - 1s 3ms/step - loss: 0.4228 - acc: 0.8027
282/282 [==============================] - 1s 4ms/step - loss: 0.4228 - acc: 0.8027 - val_loss: 0.4432 - val_acc: 0.7783
Epoch 29/30
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282/282 [==============================] - 1s 3ms/step - loss: 0.4232 - acc: 0.8048
282/282 [==============================] - 1s 4ms/step - loss: 0.4232 - acc: 0.8048 - val_loss: 0.4418 - val_acc: 0.7797
Epoch 30/30
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282/282 [==============================] - 1s 3ms/step - loss: 0.4239 - acc: 0.8077
282/282 [==============================] - 1s 4ms/step - loss: 0.4239 - acc: 0.8077 - val_loss: 0.4455 - val_acc: 0.7790
set.seed(1)
predicted_probs = model_nn%>% predict(as.matrix(ts))
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set.seed(1)
predictions_nn = prediction(predicted_probs, ts_labels)
performance(predictions_nn, measure = "auc")@y.values
[[1]]
[1] 0.8207396
set.seed(1)
predicted_labels = factor(ifelse(predicted_probs>0.5, "1", "0"))
confusionMatrix(predicted_labels, as.factor(ts_labels), positive="1", mode="everything")
Confusion Matrix and Statistics
Reference
Prediction 0 1
0 923 200
1 111 173
Accuracy : 0.779
95% CI : (0.7564, 0.8004)
No Information Rate : 0.7349
P-Value [Acc > NIR] : 7.803e-05
Kappa : 0.3859
Mcnemar's Test P-Value : 6.037e-07
Sensitivity : 0.4638
Specificity : 0.8926
Pos Pred Value : 0.6092
Neg Pred Value : 0.8219
Precision : 0.6092
Recall : 0.4638
F1 : 0.5266
Prevalence : 0.2651
Detection Rate : 0.1230
Detection Prevalence : 0.2018
Balanced Accuracy : 0.6782
'Positive' Class : 1
The AUC of the model is 82.7 The mectrics of the model are precision - 0.60 recall- 0.46 f1 score- 0.52
KNN (base): Achieved an AUC of 77 with moderate precision, recall, and F1-score. Lasso, Ridge, Enet: All three achieved similar performance with slightly higher AUC compared to KNN. Random Forest (RF): Achieved better AUC with class weighting (CW) and SMOTE techniques. Gradient Boosting Machine (GBM): GBM showed the highest AUC among all models, especially when combined with SMOTE, with good precision, recall, and F1-score. Support Vector Machine (SVM): SVM with linear and radial kernels performed moderately well but didn’t outperform GBM. Neural Network: The initial neural network model showed decent performance, which was further improved with class weighting (CW).
In conclusion, the Gradient Boosting Machine with SMOTE stands out as the best-performing model for churn prediction, with a high AUC and a good balance between precision and recall. This model could be deployed for churn prediction tasks to effectively identify potential churners.
###shapely Values
mod <- Predictor$new(smote_gbm, data = test_data, type = "prob")
shapley <- Shapley$new(mod, x.interest = test_data[1:100, ])
print(shapley)
Interpretation method: Shapley
Predicted value: 0.963790, Average prediction: 0.704131 (diff = 0.259660) Predicted value: 0.036210, Average prediction: 0.295869 (diff = -0.259660)
Analysed predictor:
Prediction task: classification
Classes:
Analysed data:
Sampling from data.frame with 1407 rows and 19 columns.
Head of results:
shapley$results
plot(shapley)
test_data$predicted_probabilities = predict(smote_gbm, test_data, type="prob")$Yes
dem_parity(data= test_data,outcome='Churn',group='SeniorCitizen',probs='predicted_probabilities',cutoff=0.5,base='No')
$Metric
No Yes
Positively classified 257 109.0000000
Demographic Parity 1 0.4241245
Group size 1176 231.0000000
$Metric_plot
$Probability_plot
equal_odds(data= test_data,outcome='Churn',group='SeniorCitizen',probs='predicted_probabilities',cutoff=0.5,base='No')
$Metric
No Yes
Sensitivity 0.5438596 0.750000
Equalized odds 1.0000000 1.379032
Group size 1176.0000000 231.000000
$Metric_plot
$Probability_plot
pred_rate_parity(data= test_data,outcome='Churn',group='SeniorCitizen',probs='predicted_probabilities',cutoff=0.5,base='No')
$Metric
No Yes
Precision 0.6031128 0.6055046
Predictive Rate Parity 1.0000000 1.0039657
Group size 1176.0000000 231.0000000
$Metric_plot
$Probability_plot
test_data$predicted_probabilities = predict(smote_gbm, test_data, type="prob")$Yes
dem_parity(data= test_data,outcome='Churn',group='Partner',probs='predicted_probabilities',cutoff=0.5,base='No')
$Metric
No Yes
Positively classified 267 99.0000000
Demographic Parity 1 0.3707865
Group size 714 693.0000000
$Metric_plot
$Probability_plot
equal_odds(data= test_data,outcome='Churn',group='Partner',probs='predicted_probabilities',cutoff=0.5,base='No')
$Metric
No Yes
Sensitivity 0.7 0.4195804
Equalized odds 1.0 0.5994006
Group size 714.0 693.0000000
$Metric_plot
$Probability_plot
pred_rate_parity(data= test_data,outcome='Churn',group='Partner',probs='predicted_probabilities',cutoff=0.5,base='No')
$Metric
No Yes
Precision 0.6029963 0.6060606
Predictive Rate Parity 1.0000000 1.0050819
Group size 714.0000000 693.0000000
$Metric_plot
$Probability_plot